Data Scientist Jobs in Bozeman, MT

With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day - we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day. One Confluent. One team. One Data Streaming Platform. Data Connects Us. **About the Role:** As a Marketing Data Scientist at Confluent, you will be a key player in analyzing lead funnel efficiency, marketing measurement and pipeline management. In this role, you will collaborate with Marketing, Growth, Sales & Finance stakeholders. Your focus will include data exploration, conducting in-depth analyses, and generating actionable insights to optimize and sustain healthy marketing funnel. **What You Will Do:** + Identify high-impact opportunities through data exploration, and generate strategic insights by collaborating with cross-functional teams, contributing to improvement amongst top of the funnel conversion metrics. + Define marketing metrics to measure success, develop scalable reporting to monitor the health of our pipeline, and analyze drivers for company KPIs + Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining marketing campaign and pipeline strategy + Design and execute A/B tests to measure the impact of product features and launches, providing insights that guide iterative improvements. + Provide deep understanding of customer journey phases, from awareness to conversion with expertise in analyzing metrics like ROI, CLTV etc. to identify opportunities for growth and optimization + Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making **What You Will Bring:** + 3+ years of experience in Data Science supporting a marketing function, preferably at a B2B SaaS company + Strong proficiency in data manipulation, especially using SQL (3+ years of experience) and a scripting language (Python/R) + Proficiency in data visualization and building dashboards with tools such as Tableau + Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders + Experience with marketing attribution models across a variety of channels (SEO, Paid Search, Social, etc.) and A/B testing frameworks + Exceptional problem solving skills and detail-oriented mindset + Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc. **What Gives You an Edge:** + Familiarity with lead funnel, marketing attribution models, and marketing measurement using causal inference and other advanced analytical methods. + Understanding of the B2B Marketing Stack, Salesforce objects **Come As You Are** At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an annual estimated salary of $160,100 - $188,100 and a competitive equity package. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE (******************************* . Click HERE (******************************************************************* to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees. \#LI-Remote

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. **Company:** Oak Street Health **Title:** Associate, Data Scientist **Location:** Chicago, IL / Remote **Company Description** Oak Street Health is a rapidly growing company of primary care centers for adults on Medicare in medically-underserved communities where there is little to no quality healthcare. Oak Street's care is based on an entirely new model that is based on value for its patients, not on volume of services. The company is accountable for its patients' health, spending more than twice as long with its patients and taking on the risks and costs of their care. For more information, visit ****************************** . **Role Description** Oak Street Health is looking for an associate data scientist to join our care and risk modeling team. This team is responsible for delivering high quality modern data solutions through collaboration with engineers, analysts, and product teams in a fast-paced, agile environment leveraging cutting-edge technology to reimagine how healthcare is provided. In this position, you will be responsible for taking on new initiatives associated with enhancements, expansion, maintenance and scaling in data science. As a member of our team, you will make an immediate impact as you help expand our data science capabilities across our whole care model. This is a fast-paced role with high growth, visibility, impact, and where many of the decisions for new projects will be driven by you from inception through production. **Core Responsibilities:** + Utilize advanced mathematical and statistical methods to solve business problems under the supervision of senior data scientists + Execute exploratory data analysis to validate and quantify trends identified by partner organizations. + Develop insights, visualizations, and other data artifacts that support broader data science initiatives + Wrangle and analyze large structured and unstructured datasets in a highly repeatable fashion + Demonstrate strong communication skills (both written and verbal) and a positive, solution-oriented attitude + Other duties as assigned **What we're looking for:** + Bachelor's degree and 1 year of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field + Proficiency in SQL and Python + Clear and concise through all mediums of communication + Demonstrated ability to decompose multi-tier problems into actionable steps + Excellent problem-solving and analytical skills + Innate curiosity to get at the how and why of a problem + US work authorization + Someone who embodies being "Oaky" **What does being "Oaky" look like?** + Radiating positive energy + Assuming good intentions + Creating an unmatched patient experience + Driving clinical excellence + Taking ownership and delivering results + Being scrappy **Why Oak Street?** Oak Street Health offers our coworkers the opportunity to be at the forefront of a revolution in healthcare, as well as: + Collaborative and energetic culture + Fast-paced and innovative environment + Competitive benefits including paid vacation and sick time, generous 401K match with immediate vesting, and health benefits Oak Street Health is an equal opportunity employer. We embrace diversity and encourage all interested readers to apply to oakstreethealth.com/careers. **Anticipated Weekly Hours** 40 **Time Type** Full time **Pay Range** The typical pay range for this role is: $64,890.00 - $173,040.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. **Great benefits for great people** We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: + **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** . + **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. + **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ***************************************** We anticipate the application window for this opening will close on: 09/19/2025 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 8. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Telesign connects, protects and proactively defends companies, customers and the digital interactions between them. With powerful AI that delivers identity with speed, accuracy and global reach, we enable Continuous Trust. Empowering companies to transact, communicate and engage with their customers free of fear, Continuous Trust makes the promise of the digital economy possible. We are hiring a Data Scientist to join our team (2 open roles)! Key Responsibilities: * Apply and develop machine learning techniques. * Identify relevant data sources (based on internal and external data). * Actively bring and promote new innovative ideas to develop and/or enhance the company's data/data science products/offerings. * Analyze data for trends and patterns and interpret data with a clear business objective in mind. * Take the initiative to experiment with various technologies and tools with a vision of creating innovative data-driven insights for the business. * Implement mathematical/ML models and patterns into production by collaborating with software developers and data engineers. * Ensure quality and robustness of data science solutions using standard testing approaches and statistical analyses. Essential Requirements: * Proficient in statistical tools/languages, such as R, Python, MATLAB… and ML methodology, techniques and algorithms. * Excellent research skills and ability to learn new skills. * Attention to detail and ability to consider tasks from multiple angles to produce robust analyses. * Excellent cooperative skills and ability to work in a team environment/team player. * Strong ability to work in an autonomous environment. * Excellent organizational skills. * Excellent communication skills, both verbal and written, in English and Serbian. Preferred Requirements: * Bachelor's degree in Mathematics, Applied Mathematics, Statistics, Data Science, Computer Science, Engineering, or a related technical or quantitative discipline/field. * 2+ years of industry experience in Data Science, Data Analytics, Quantitative research or Applied mathematics or 4+ years of academic research experience in Mathematics, Statistics, Data Science, or related discipline. * Software development experience with OO languages (Python, Scala, …). * Experience with Databricks and/or Spark; experience with ETL techniques and workloads. We are offering * Good compensation - Competitive € salary plus benefits package. * Development opportunities. * Challenging but also a friendly working environment. * And much, much more... About Telesign Telesign connects and protects online experiences with sophisticated customer identity and engagement solutions. Through APIs that deliver user verification, data insights, and communications we solve today's unique customer challenges by bridging businesses to the complex world of global telecommunications. Telesign is proud to be an equal-opportunity employer. We believe our differences help us create a better workplace, a better product, and a better community. We do not discriminate on the basis of race, colour, ancestry, religion, national origin, marital status, pregnancy, sex, sexual orientation, gender, gender identity or expression, age, genetic information, disability, military or veteran status, or any other basis protected by federal, state or local law, ordinance or regulation. Telesign is an Affirmative Action Employer and as part of the commitment to AAP, it will seek to ensure affirmative action to provide equality of opportunity in all aspects of employment, and that all personnel activities, such as the recruitment selection, training, compensation, benefits, discipline, promotion, transfer, layoff and termination processes remain free of illegal discrimination and harassment based on protected characteristics.

This is not a remote work opportunity. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1's working on EAD for this position. Are you ready to drive and shape the future of Ericsson Silicon's Verification analytics and data-driven insights? Join our dynamic Design Verification Methodology team, dedicated to defining cutting-edge metric-driven methodologies and dashboarding solutions across our global R&D sites in Austin, Stockholm, and Lund. About Us We are part of Ericsson Silicon, an engineering unit that develops state-of-the-art ASICs and FPGAs targeting the newest technology nodes for Ericsson's 5G telecommunication portfolio. This department offers many opportunities for career growth and access to a large knowledge base. What you will do: To excel in this high-visibility role, we seek individuals with a background in ASIC IP/ASIC SoC development, data science, and dashboarding. You will play a crucial role in shaping data-driven methodologies that help silicon IP engineers track Coverage metrics, Functional Coverage pass/fail rates, EDA tool efficiency, and verification progress, ensuring a holistic view of ASIC SoC health. A key focus is on building scalable metric systems, integrating AI/ML techniques for predictive analytics, and visualizing workload throughput across compute clusters and EDA tools * Design and implement Silicon DV metric systems to track and visualize: Coverage and Functional Coverage (pass/fail rates, closure status). Workload Throughput (runtime, memory usage, compute efficiency, and job scaling). EDA Resource Utilization (license usage, peak load analysis, and bottleneck detection). Other key KPI to measure and track Silicon Design and Verification status * Develop interactive dashboards for real-time monitoring of verification progress and EDA tool performance. * Create AI/ML-driven analytics for predictive workload optimization and resource allocation insights. * Automate data collection and transformation from EDA tools, compute clusters, and job schedulers. * Integrate metric systems into CI/CD workflows, enabling data-driven decision-making for IP/ASIC/SoC verification teams. * Collaborate with silicon engineers to improve compute scheduling, license efficiency, and verification throughput. * Establish best practices for data visualization, reporting, and engineering decision support. What you will bring: * Strong expertise in data science, analytics, and visualization tools (e.g., Python, Pandas, NumPy, Jupyter, Tableau, Grafana). * Experience with EDA tool monitoring (e.g., Synopsys VCS, Cadence Xcelium, Siemens Questa, JasperGold, Verdi). * Proficiency in SQL, NoSQL databases, and scalable data pipeline development. * Knowledge of AI/ML frameworks for predictive analytics in EDA workloads. * Familiarity with compute cluster resource monitoring (e.g., Slurm, LSF, Kubernetes). * Hands-on experience with runtime and memory profiling for verification workloads. * Understanding of CI/CD tools like Jenkins, GitLab, Docker, Kubernetes. * Strong programming skills in Python, Bash, Perl, or similar scripting languages. * Effective communication and ability to present data-driven insights to engineering teams. Why Join Us? * Be part of a high-impact team transforming silicon verification with data science and AI. * Work on cutting-edge analytics and visualization tools for EDA workload monitoring and optimization. * Shape data-driven verification methodologies for global engineering teams. * Collaborate with world-class experts in semiconductor R&D. base pay range $175,000 to $210,000 What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Notice of Job Opportunity - Legal Notices for PERM We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at *************************** DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: USA || Austin, TX Job details: Developer Primary Recruiter: Jim Everett

WHY WE NEED YOU: Are you passionate about building statistical and machine learning models, understanding deep mathematical and statistical concepts underneath, and being technically skilled to implement those models optimally by using the right data structures, algorithms, and math operators? Applying your expertise to real-life business problems, and seeing how your solutions impact millions of our players? Mapping complex in-game player behaviors to data representation, to capture interesting and business useful patterns? If so, then you are in the right place! We are looking for a driven Data Scientist to join our Analytics team and play a pivotal role in various phases, including: identifying business opportunities that can be tackled by Data Science, defining the goal and formalizing the problem, collaborating with other team members to develop solutions, implementing these solutions, and analyzing results to further understand the business impact. WHAT YOU'LL DO: * Causal Inference, with a focus on A/B tests. Be involved in research and development phases, as well as testing cutting-edge methodologies in the domain of causal inference, such as Econometrics, Bayesian AB testing, DoubleML, Structural Causal Modeling, etc. (~30%) * Utilize ML by building new or improving existing productional ML models and pipelines in order to provide a personalized experience to our users and support decision-making. (~30%) * Build elegant and scalable game systems, based on behavioral mathematics, game theory, and simulations such as MatchMaking algorithms in PvP gaming environment (~20%) * Be involved in defining telemetry tracking and designing DB schemas, working on ETL, performing ad hoc analyses and making reports, monitoring the performance of the game/features, and answering ad hoc data requests. (~10%) * Work on arbitrary business problems that can be solved by utilizing the DS toolbox including: forecasting KPIs and behaviors, developing data science standalone tools, performing Clustering, using Association rules, etc. (~10%) WHAT WE'RE LOOKING FOR: * Passion for Data Science, shown through the theoretical knowledge and practical skills you already gathered * Bachelor's degree in Computer Science, Math, Statistics, or other quantitative fields * Knowledge of Python, Julia or R, and SQL. Knowledge of the OOP paradigm * Experience with any data visualization tool (such as Tableau, PowerBI, …), as well as best vizualization practices * Strong knowledge of Statistics and Machine Learning concepts * Excellent verbal and written skills in English * Playing games, or following Gaming industry BONUS: * Feel free to include link to any data science projects - we'd love to see what you are passionate about! WHY YOU'LL LOVE WORKING HERE: * The competitive compensation package, perks and benefits: unlimited vacation days, flexible working hours, hybrid ways of working, premium private medical insurance for you and your family (additional coverage for your parents is available with a participation fee), offsites for the whole company, fully-paid maternity leave, employee stock purchase plan, access to L&D platforms and opportunities, fitness reimbursement and many more. * State-of-the-art workspace: Nordeus provided breakfast, lunch, snacks, and beverages, a 24/7 available fully-equipped gym, organised sports activities (yoga, Brazilian jiu-jitsu, basketball, football), an ergonomic workstation, top-notch tech equipment (including laptop, mobile phone and bill coverage, and other tech), a kids' playroom, a music corner, golf simulator, board and video games + latest consoles. We make sure your life at Nordeus is hassle-free. * High level of creative freedom: trust, respect, and teamwork are the essence of who we are. We inspire and support each other to bring the joy of winning to the lives of millions. * Playing your part in the future of our games: with over 260M registered users, Top Eleven is the world's most successful football management game. Golf Rival, with more than 60M registered users, is the #2 mobile golf game aiming to claim the top spot. With one more game in the works, we are continuing our efforts to create powerful gaming experiences built to last. * Working with experienced game makers: you will be a part of a multicultural team of over 200 employees from different countries. * Making an impact: we are putting Serbia on the global gaming map and working closely with the local community to develop the gaming ecosystem.

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? **In this position...** Ford is redefining how it will build a better world for the future by creating a culture and opportunities where employees will capitalize on Ford's excellence in designing and building the most iconic products while also helping develop the future of world-class connected Battery Electric Vehicles (BEV). We call this new business Model e. The creation of Model e was informed by the success of small, passionate Ford teams that developed the Mustang Mach-E SUV and F-150 Lightning pickup, as well as Ford's dedicated EV division in China. Similarly, dedicated teams within Model e will create the software platforms and fully networked vehicle architectures to support delightful, always-on and ever-improving vehicles and experiences that will allow us to deliver over 50% of our total sales in BEV and 33 million connected vehicles by 2030. We are building a team of the world's best software, electrical and automotive talent and turning them loose to create shockingly great electric vehicles and digital experiences for new generations of customers. These changes in our business will allow us the greatest opportunity to bring value and serve customers since Henry Ford scaled the Model T. **What you'll do...** This role will provide you with a unique opportunity to build a data and analytics ecosystem to drive important GTM use cases within the recently launched Model e business. The Data Scientist will drive and lead building, maintaining, and refining the machine-learning capabilities that will be the core of Model e's new business decisions, including dynamic pricing, dynamic service pricing, dynamic subscription pricing, etc. The Data Scientist will be an integral part of the GTM technical team for the Model e business. Reporting to the Head of Global Pricing & GTM Data Science, this person will lead critical projects in the pipeline that will shape the future of Ford Model e. The Data Scientist will build and maintain data science and analytics capabilities that will be central to Model e's Pricing and GTM requirements. This technical leader will interface directly with Ford's Global Data Insights & Analytics team (GDIA) as well as with Ford IT to build and advance the frontiers of Model e's go-to-market model (e.g., dynamic service pricing models, subscription pricing models, etc.) and will be critical to unlocking sustainable value creation for Ford's Model e EV business. The Data Scientist will have a strong technical background, with experience building digital products from concept through to deployment. The ideal candidate will have strong data science capabilities (Python, SQL, Airflow, ML algorithmic techniques), experience working on cloud-based systems (ideally Google Cloud) as has worked in a business context where translating business requirements into technical solutions was essential. They will be a natural problem solver and strategist who will enjoy working in an entrepreneurial environment and stitching together components from the traditional Ford business with transformational ideas and concepts to drive the Model e go to market strategy. They will have the ability to build critical relationships and work cross functionally with members of marketing, sales, finance, GDIA, IT, etc. As a technical leader they will mentor junior team members and help build a culture of trust and a sense of belonging, accountability, speed, and the ability to constructively challenge each other. They will have a strong bias to action, iterate quickly and have fun while doing the best work of their career. **You'll have...** -Bachelor's degree in an appropriate field of study -3+ years of experience, with specific focus on data science and machine learning Technical qualifications: -3+ years of DS experience with end-to-end cloud-based development (develop, test, industrialize, deploy), Google Cloud preferred -3+ years of Coding experience with Python modeling, with demonstrated ability to go from concept through to implementation. -Experience with Pandas, Scikit learn, and NumPy packages as well as ensemble-based ML algorithms (e.g., random forest, gradient boosted trees) and Deep Learning algorithms (e.g., RNNs, CNNs, GANs). Expertise in time series modeling. Working knowledge of natural language processing and anomaly detections. -3+ years of SQL experience for data manipulation/data engineering **Even better, you may have...** -Master's degree, PhD, or MBA in an appropriate field of study -North America and global experience -Tangible experience with the full life cycle of building digital solutions (from PoC through to Production) -Relevant experience linking business requirements to digital product development -Record of accomplishment working DevOps and agile (vs. waterfall approach) Disruptor - willing to push for change -Challenger mindset - ability to push past status quo & obstacles to implement vision You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including: - Immediate medical, dental, vision and prescription drug coverage - Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more - Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more - Vehicle discount program for employees and family members and management leases - Tuition assistance - Established and active employee resource groups - Paid time off for individual and team community service - A generous schedule of paid holidays, including the week between Christmas and New Year's Day - Paid time off and the option to purchase additional vacation time. This position is a salary grade 8. For more information on salary and benefits, click here: ********************************** (****************************************************************************************************************************************** IORk352pb3W8Ef3jdMrFAzAJsdp6K\_A\_Blz\_Q$) Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. \#LI-Remote #LI-KJ1 JD missing, template provided to have by discovery call. JD missing, template provided to have by discovery call. **Requisition ID** : 42535

**Our Company** At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers and our customers' customers to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. **What You'll Do** The Senior Data Scientist (pre-sales) is an experienced and expert Data Scientist, able to provide industry thought-leadership on Analytics and its application across industries and across use-cases. The Senior Data Scientist supports the account team in framing business problems and in identifying analytic solutions that leverage Teradata technology and that are disruptive, innovative - and above all, practical. An articulate and compelling communicator, the Senior Data Scientist establishes our position as an important partner for advanced analytics with customers and prospects and is a trusted advisor to executives, senior managers and fellow data scientists alike across a range of target accounts. They are also a hands-on practitioner who is ready, willing and able to roll-up her sleeves and to deliver POC and short-term pre-sales engagements. The Senior Data Scientist has an excellent theoretical and practical understanding of statistics and machine learning and has a strong track record of applying this understanding at scale to drive business benefit. They are insanely curious and is a natural problem-solver and able to effectively promote Teradata technology and solutions to our customers. **Who You'll Work With** The successful candidate will work with other expert team members to: + Provide pre-sales support at an executive level to the Teradata account teams, helping them to position and sell complex Analytic solutions that drive sales of Teradata software. + Provide strategic pre-sales consulting to executives and senior managers in our target market. + Support the delivery of PoC and PoV projects that demonstrate the viability and applicability of Analytic use-cases and the superiority of Teradata solutions and services. + Work with the extended Account team, and Sales Analytics Specialists to develop new Analytic propositions that are aligned with industry trends and customer requirements. **What Makes You a Qualified Candidate** + a degree level qualification (preferably Masters or PHD) in Statistics, Data Science, the physical or biological sciences or a related discipline + Have proven hands-on experience of complex analytics at scale for example in the areas of IoT and sensor data. + Understand the PMML and ONNX model portability standards + Have experience with Teradata partner's analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such as Dataiku and H2O + Have strong hands-on programming skills in at least one major analytic programming language and/or tool in addition to SQL **What You'll Bring** + An expertise in Data Science with a strong theoretical grounding in statistics, advanced analytics, and machine learning and at least 5 years real-world experience in the application of advanced analytics. + A passion about knowledge sharing and demonstrate a commitment to continuous professional development. + A Belief in Teradata's Analytic solutions and services and be a commitment to working with the product, engineering, and consulting teams to ensure that they continue to lead the market + An ability to turn complex technical subject matter into relatable easy to digest and understand content for senior audiences. **Why We Think You'll Love Teradata** We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. \#LI-CP2 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Pay Rate: 117100.0000 - 146400.0000 - 175700.0000 Annually Starting pay for the successful applicant will depend on geographic location, internal equity, job-related knowledge, skills, and candidate experience. Sales roles will be eligible for commission payments tied to quota achievement. All other permanent roles will be eligible for one of our annual incentive plans, which are based on company financial attainment and individual performance. Employees in this position are also eligible to participate in the Company's comprehensive benefits programs, which include healthcare, life and disability insurance plans, a 401(k)-retirement savings plan, and time-off programs. Specific details of these benefits, including eligibility criteria and plan options, will be provided during the hiring process and can be reviewed here: **************************************************

The role involves performing in-depth analyses and presenting insights through dashboards and visualizations while analyzing large business datasets to identify opportunities and tailor statistical and machine-learning models to business needs. It requires coding in tools like SQL, R, and Python to build and analyze data, as well as retrieving, synthesizing, and presenting historical data to improve decision-making and system performance. Additionally, the position involves presenting findings to both technical and non-technical audiences, managing the process of data gathering and extraction across multiple sources, and ensuring data quality through independent validation and restructuring. The role also requires applying quantitative analysis, experimentation, and data mining to solve complex problems using various analytical and statistical approaches. IC5 Career Level - IC5 **Responsibilities** This role involves performing ad hoc and in-depth analyses of large-scale business data to uncover insights, trends, and opportunities while designing simulations and experiments to validate hypotheses and inform strategic decisions. The position requires close collaboration with engineers, finance professionals, and capacity management teams and writing clean, efficient code to develop statistical and machine learning models. It also includes retrieving, analyzing, and presenting data to support data-driven decision-making and creating clear dashboards and visualizations for both technical and non-technical audiences. The role involves taking ownership of data gathering across multiple sources using SQL, R, and Python, ensuring data quality through independent formatting and validation. Lastly, it tackles complex problems with advanced analytical methods, leveraging quantitative analysis, experimentation, and data mining to drive improvements and enhance business performance. **Minimum Qualifications:** + Master's Degree in Computer Science, Mathematics, Statistics, Physics or a related field focused on Machine Learning techniques. + 5+ years of industry experience in an applied data science or machine learning role. + Extensive coding experience using Python, R and experience with distributed computing framework (i.e. Spark, Hive) preferred. + Experience with productionizing Machine Learning models is a plus. + Knowledge of AWS, OCI and/or other Hyperscale IaaS environments. + Familiarity with cloud computing platforms and infrastructure management systems + Knowledge of data structures, algorithms. + Knowledge of agile-based iterative development. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Comscore is a media measurement company providing multiscreen reporting and analytics with cutting-edge technology to serve clients in the entertainment, media, retail, and advertising industries. Comscore's Data Science team helps design the intelligent engines that power the company's advanced Media Ratings, Movies & TV Everywhere measurement systems. Through our research, Comscore builds projections that make the massive amount of raw data we take in from screens across the world meaningful and useful for our clients. The Data Scientist position is part of the Television Analytics team that provides internal services for building and maintaining the data science methodologies comprising Comscore's projection system for US national television, local television, and cross platform measurement services. This position is expected to have a particularly significant role in Comscore's measurement of Linear Television for both national and local television. In this role, the Data Scientist will work closely with other members of the Television Analytics team and the Technology organization to work with large amounts of tune-level linear television data to build algorithms, tools, and custom projection solutions for precise cross-platform measurement using large-scale data sets in a fast-paced business environment. The Data Scientist will investigate and diagnose potential internally- and externally-facing issues, and develop hypotheses, strategies, visualizations, reports, and recommendations for various data science purposes. **Duties & Responsibilities:** + Utilizes software including SQL, Python/R, and UNIX/Linux as well as internal and third-party tools to generate, analyze, and deliver data driven insights. + Interpret results, present findings, and recommend alternative solutions to research management and business decision makers. + Responsible for the timely and error-free operation, production and delivery of syndicated product data. Ensures the integrity and validity of data for On Demand, Linear TV, Digital, and Cross Platform products. + Develop analytical approaches to answer high-level questions and develop insightful recommendations. + Support the research and investigation of client-reported inquiries. + Collaborate with Analytics, Engineering, and Best Practices teams to meet and support business goals. + Develop routine analytical methods; proactively seek out potential solutions to issues. + Provide suggestions to advance and improve methodologies. + Provide complex troubleshooting of analytical methods. + Uses attention to detail and problem-solving skills to find and correct data problems, applying statistical methods to adjust and project results when necessary. Works across teams and functions to drive process improvement initiatives. + Serves as subject matter expert on Comscore's TV methodologies. **Qualifications:** + A degree in a quantitatively focused discipline (i.e., Statistics or Economics, Data/Computer Science or Engineering, Systems Engineering, Computation Finance, Operations Research, Mathematics or Physics, etc.). + 2-4 years of experience in the synthesis of research findings and making data-driven arguments. + Expertise at querying and manipulating data in preparation for analytics or data visualization using SQL, Spark, R/Python, etc. + Ability to learn complex methodologies quickly and draw on your creative problem-solving skills to achieve results. + Ability to convey complex analytical approaches and findings; writing skills are essential. + Intrinsic ability to look at data and identify patterns, problems, or analysis opportunities. + Ability to multi-task and work with manager to prioritize efficiently to meet deadlines. + Experience with Media Rating Council (MRC) is a plus. **Shift: ** The regular hours for this shift will be 2 pm --11 pm IST. Occasionally, earlier or later hours may be required for meetings with teams in other parts of the world. Additionally, for the first 4-6 weeks of onboarding and training, US Eastern time hours (IST -9:30) may be required. **Benefits:** - Medical: Comscore offers a collective Private Medical Insurance scheme which is 100% covered by Comscore. The benefit is applicable to employees, an employee's spouse, up to two children and parents. - Pension: Provident Fund: Comscore bears both the employee and employer contribution. - Time Off Annual Leave: Comscore offers market competitive annual leave of 25 Annual Leave Days (12 Casual and 13 Privilege), following local guidelines and practices. - National Holidays and Festival Holidays: 10 Days. - Sick Leave: 12 Days. - Additional Leave: Paternity, Bereavement, Marriage, Maternity, Additional Pregnancy / Birth Related Leave - Christmas / New Year Paid Leave, Comscore offers a week of Company paid leave over the Christmas / New Year period. PAGE 3 - Summer Hours: Comscore has a culture that rewards employees for their hard work. When you work hard, you need time to recharge and refresh. Early releases on Fridays are subject to manager approval. - Internal Career Development Opportunities (minimum of 6 months tenure in the current position and in discussion with supervisors) - Access to hundreds of professional e-learning courses, specifically created for Comscore - Be creative: You don't have to follow the norm to be successful - we encourage you to think outside the box. Our culture is built on encouraging innovative ideas, communication and joint success. - Informal Work Atmosphere: We believe in getting the job done in a comfortable, casual environment! - The ability to become a truly global engineer, with exposure to markets across the world. With more than 30 offices around the world, many Comscore teams work together across locations. **About Comscore:** At Comscore, we're pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners. Though our roles and skills are varied, we're united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If you're motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media, we'd love to hear from you. This will be a foundational role on our Pune-based GL team during a time of exponential growth for Comscore in Pune. The candidate for this role will be one of the first GL hires in Pune and will work with Comscore teams around the world on work vital to the future of Comscore and our clients. Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights, Comscore allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale, Comscore is the industry's emerging, thirdparty source for reliable and comprehensive cross-platform measurement. To learn more about Comscore, please visit Comscore.com. **About Comscore:** At Comscore, we're pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners. Though our roles and skills are varied, we're united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If you're motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media, we'd love to hear from you. Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights, Comscore allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale, Comscore is the industry's emerging, third-party source for reliable and comprehensive cross-platform measurement. To learn more about Comscore, please visit Comscore.com. Comscore is committed to creating an inclusive culture, encouraging diversity. *LI-JL1 Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference.

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **What is expected of you and others at this level** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum. **The Role** The Staff Data Scientist is an internal expert in methodology and leads audience activation modeling efforts, translating complex customer data into actionable marketing strategies and personalized customer experiences through machine learning modeling. This individual possesses deep technical expertise in statistics and machine learning, with a strong focus on their application in marketing targeting. This individual will collaborate closely with stakeholders from GM's vehicle brands and the Performance Driven Marketing team to ensure business acceptance of proposed methods, conduct objective performance evaluations, and optimize audience activation to drive sales. You will be responsible for developing advanced marketing models, extracting valuable insights, and creating scalable solutions that identify high-return investment opportunities at the channel and tactic levels. Our team is focused on delivering forward-thinking, consumer-centric, and prescriptive solutions that enable GM to remain proactive and agile as we transition to electric vehicles (EVs). **What You'll Do** Staff Data Scientist will be responsible for: + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identify long-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact + Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff + Mentoring junior data scientists on the team **Your Skills & Abilities (Required Qualifications)** + Master's Degree or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Marketing Science, or another quantitative field + Deep knowledge of Machine Learning and Statistics. Familiarity with Deep Learning algorithms is a plus + Proficient in writing scalable code using Python and SQL/Spark, with experience working with Spark/ML, scikit-learn, NumPy, Pandas, StatsModels, PyMC, TensorFlow, PyTorch, and related packages + Experience withcloud compute platforms such as Azure with Databricks experience being especially valuable + 10+ years of experience as a Data Scientist or in a related role,developing, deploying, and monitoring performance of large analytic data sets and machine learning based models + Desired expertise in marketing analytics and advanced methods such as: customer lifetime value, consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression, media mix modeling (MMM), multi-touch attribution (MTA) + Prior experience with CRM, paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **Additional Job Description** This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. Compensation: + The expected base compensation for this role is: $160,200- $285,300. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. **Benefits Overview** The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: - Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; - Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; - Company and matching contributions to 401K savings plan to help you save for retirement; - Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; - Tuition assistance and student loan refinancing; - Discount on GM vehicles for you, your family and friends. **Diversity Information** General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. **Equal Employment Opportunity Statements** GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, "protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. **Explore our global location** **s** The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**Job Title - Sr. Data Scientist** + **Job Summary:**We are seeking a highly skilled and experienced Principal Data Scientist to lead our data science initiatives, specifically focusing on developing and implementing **Price Elasticity** , Promotional Effectiveness, and Decomposition Models. This role will play a critical part in driving data-driven decision-making and optimizing pricing strategies to enhance business performance.**Key Responsibilities:**- Lead the development and implementation of advanced statistical models to analyze price elasticity, promotional effectiveness, and sales decomposition.- Collaborate with cross-functional teams, including marketing, finance, and product management, to understand business needs and translate them into data-driven solutions.- Design and conduct experiments to test pricing and promotional strategies, and analyze the results to provide actionable insights.- Develop and maintain scalable data pipelines and infrastructure to support model development and deployment.- Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation.- Communicate complex analytical concepts and results to non-technical stakeholders in a clear and concise manner.- Stay up-to-date with the latest advancements in data science, machine learning, and statistical modeling techniques.**Qualifications:**- Master's in Data Science, Statistics, Computer Science, Mathematics, or a related field.- Proven experience in developing and implementing price elasticity, promotional effectiveness, and decomposition models.- Strong proficiency in programming languages such as Python, R, and SQL.- Expertise in machine learning techniques, statistical modeling, and data analysis.- Excellent problem-solving skills and the ability to work independently and collaboratively.- Strong communication skills with the ability to present complex information to diverse audiences.- Experience with big data technologies and cloud platforms Azure is a plus.**Preferred Skills:**- Experience in the retail or consumer goods industry.- Familiarity with data visualization tools Power BI or any other UI tool for Scenario building- Knowledge of A/B testing and experimental design **LI-PT1** **Salary and Other Compensation:** Applications will be accepted until Jan 3rd 2025. The annual salary for this position is between $120- 175Kdepending on experience and other qualifications of the successful candidate.This position is also eligible for Cognizant's discretionary annual incentive program and stock awards, based on performance and is subject to the terms of Cognizant's applicable plans. **Benefits** : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:Medical/Dental/Vision/Life InsurancePaid holidays plus Paid Time Off 401(k) plan and contributions Long-term/Short-term DisabilityPaid Parental LeaveEmployee Stock Purchase Plan **Disclaimer:** The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law

ABOUT onX As a pioneer in digital outdoor navigation with a suite of apps, onX was founded in Montana, which in turn has inspired our mission to awaken the adventurer inside everyone. With more than 400 employees located around the country working in largely remote / hybrid roles, we have created regional “Basecamps” to help remote employees find connection and inspiration with other on Xers. We bring our outdoor passion to work every day, coupling it with industry-leading technology to craft dynamic outdoor experiences. Through multiple years of growth, we haven't lost our entrepreneurial ethos at onX. We offer a fast-paced, growing, tech-forward environment where ownership, accountability, and passion for winning as a team are essential. We value diversity and believe it leads to different perspectives and inspires both new adventures and new growth. As a team, we're hungry to improve, value innovation, and believe great ideas come from any direction. Important Alert: Please note, on Xmaps will never ask for credit card or SSN details during the initial application process. For your digital safety, apply only through our legitimate website at on Xmaps.com or directly via our LinkedIn page. WHAT YOU WILL DO At on Xmaps, we build apps that enable millions of people to plan their adventures and navigate the outdoors with confidence. Central to this mission is how we collect, process, and present data-terabytes of it from thousands of sources-through our maps and contextual app features. As a Principal Data Engineer, you will design and build the next generation of these systems in Google Cloud, tackling the challenges of managing data at scale. Success in this role means leading by example in the systems you design and the code you write while mentoring senior engineers and influencing engineering leadership. To excel, you must be an exceptional communicator, able to understand complex business needs and effectively drive change across teams and stakeholders. This is a unique opportunity to join a growing and successful company while playing a pivotal role in shaping one of the greatest pillars of our success-the data and insights our users rely on most. This position serves as a Principal Engineer within the Content domain at on Xmaps and reports directly to the Senior Director of Engineering. You play a key role in shaping the future of how we manage data at scale. As an onX Principal Data Engineer, your day to day responsibilities would look like: (Essential Job Duties) Develop and drive a technical roadmap that aligns with business opportunities by understanding the fundamentals of the business. Communicate complex technical concepts clearly and effectively, including goals and expectations, through excellent written and verbal communication skills. Extremely high technical competency with distributed systems and data processing. We expect you to not only design and collaborate across teams, but to also be a very strong contributor that leads by example. You should earn the respect of highly skilled peers and senior engineers by regularly writing and reviewing code. Strong coaching skills for both code and technical architecture proposals. Recommend process and tool improvements based on industry standards, patterns and practices, and direct experience. Foster a “one team” culture through cross-functional collaboration and engineering alignment, contributing to best practices, reducing technical debt, and addressing operational inefficiencies. Collaborate with engineering, design, and product management to plan and deliver large-scale features aligned with technical and product roadmaps. Serves as a thought leader, drives large-scale transformations, represents the organization in industry forums, and provides long-term technical guidance. Has a visionary understanding of emerging technologies and expertise in aligning technology with business strategy. Recognized as an influencer in the tech community. Drive organization-wide initiatives, develop technical roadmaps, and recommend improvements to architecture, security, scalability, and performance. Communicate project statuses, risks, and concerns to stakeholders and technical leadership, while managing stakeholder relationships effectively. LOCATION onX has created a thriving distributed workforce community across several US locations. This position can be performed from an onX corporate office, “Basecamp,” or “Connection Hub.” Corporate Offices: onX was founded in Montana with offices in Missoula and Bozeman. If you prefer to work in an office at least part of the time this is a great option. Basecamps: Basecamps are established virtual workforce communities where a sizable number of distributed team members group for work, volunteering, socializing, and adventure. Our current Basecamps are located within a 90-mile radius of the following: Austin, TX; Charlotte, NC; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA. Connection Hubs: Connection Hub locations are smaller, emerging communities of distributed team members. Our current Connection Hubs are located within a 60-mile radius of the following: Boise, ID; Charleston, SC; Dallas/Fort Worth, TX; Phoenix, AZ; Richmond, VA; Spokane, WA; and Vermont. WHAT YOU'LL BRING 12+ years of industry experience. You are a recognized leader in the field. Publications, patents, or significant contributions are preferred. Strong understanding of various data engineering tools and patterns including ETL / ELT, batch processing, stream processing, event-driven architecture, Airflow, Spark, etc. You should have direct experience implementing a couple architectures at scale. Experience with a variety of data storage including relational and non-relational databases such as PostgreSQL and Big Table, as well as flat file storage formats such as Parquet Experience and expertise with Go. Familiarity with other systems programming languages Experience and expertise processing data in a cloud environment. We use Google Cloud. You have effectively mentored or managed senior engineers leading to their success and yours A shared passion for, and the ability to demonstrate onX's Company Values. Permanent US work authorization is a condition of employment with onX. Ability to travel quarterly for multiple days to a corporate office or other onX strategic location, such as a Basecamp. ADDED BONUSES Though not required, we would be thrilled to consider candidates with any of the following: An interest and aptitude for Geospatial data and algorithms. Strong knowledge and experience with GCP offerings like Big Table, Big Query, Data Flow, hosted Kubernetes, and Cloud SQL Expert with Postgres and the PostGIS extension Although managing is not a requirement for this role, strong candidates will have management experience and an interest in directly managing a small number of engineers COMPENSATION onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $190,000 to $240,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance. WHAT WE ARE OFFERING YOU Competitive salaries, annual bonuses, equity, and opportunities for growth Comprehensive health benefits including a no-monthly-cost medical plan Parental leave plan of 5 or 13 weeks fully paid 401k matching at 100% for the first 3% you save and 50% from 3-5% Company-wide outdoor adventures and amazing outdoor industry perks Annual “Get Out, Get Active” funds to fuel your active lifestyle in and outside of the gym Flexible time away package that includes PTO, STO, VTO, quiet weeks, and floating holidays PERFORMANCE ESSENTIALS In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at **************. Position open until filled. #LI-Remote At onX, we believe that diversity makes us better. Bringing together a diverse set of backgrounds, ideas, and opinions helps us to achieve our mission to awaken the adventurer in everyone. We are proud to be an equal opportunity employer. onX is committed to equal opportunity not only in our hiring practices but also in our employment practices, including but not limited to development, compensation, and promotion. We strive to build an inclusive work community where everyone can be their authentic self, and together, we win as a team. Come join us! onX does not sell any Personal Information, but we may transfer employment related records to our service providers or third parties that provide business services to onX or as required by law. For more information, see our Privacy Policy. As part of our interview process, your conversation may be recorded for documentation purposes to allow interviewers to focus fully on the discussion. Recordings are confidential and accessible only to authorized personnel, without the use of AI-based summarization. Please note, onX respects all applicable laws regarding recording consent, and you will have an opportunity to opt-out if preferred.

Wargaming is looking for a proactive, excited and determined Game Data Analyst to strengthen the World of Tanks product analytics team. We collect all kinds of information about the player behavior and the events in the 'WoT universe': from economic, financial and detailed combat data to the precise coordinates of each shot and tank movement, interface telemetry and many others. All of them are routed to a singular database and are available for analysis 24/7. You will be working with the WoT Product Team responsible for decision-making process, with the Data Warehouse team responsible for data storage, reports system and our infrastructure, as well as 60 analytics all over the world united under Wargaming Global Analyst Network. What will you do? * Helping deliver important analytical insights to managers and other product teams necessary for decision making. * Use quantitative analysis to understand how the game is played and identify impact and growth opportunities. * Participating in analytical maintenance for features, game events and modes throughout all development and release stages: * Pre-Production Analytics: modeling likely outcomes and risks from implementing new features, game modes and events into the game; predict the future events, product KPIs and metrics; providing analysis of their full development cycle (from concept to release); * Production Analytics: developing and preparing analytical reports, metrics and methodologies for evaluating features, game modes and events in operation; looking for anomalies and insights that help increase effectiveness of the product and its parts; * Operation Analytics: creating and supporting analytical tools and interfaces (dashboards) for rapid updates on the status of the product and its subsystems delivered to the management and the responsible teams. * Gather and formulate requirements, conduct analytical research from producers, PMs, UX/UI and game designers, developers, QA and artists. * Presenting the research results and filling the product analytics knowledge base to share with other teams. What are we looking for? * 3+ year experience on a similar position. * Understanding the principles of formalizing business tasks in research plans, as well as experience writing analytical reports and presenting their results. * Advanced SQL knowledge. * Experience with at least one data visualization solution (Tableau / Qlik / Microsoft Power BI, etc). * Experience with Python/R and popular libraries for data processing and analysis. * Great communication skills, both written and spoken, especially for non-technical audience. * Written and spoken English (B1 and higher). What additional skills will help you stand out? * Being prepared to learn, take in and systemize vast amounts of data within a short time. * Experience working with Cloudera Impala / Hive, Oracle SQL, Snowflake. * Knowledge and practical application of machine learning algorithms. * Rich gaming experience in different games and over 1000 World of Tanks battles. Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include: * Annual leave of 20 working days (additional days based on years of service at Wargaming: up to 25 days) * Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) * Sick Leave Compensation, Maternity Leave Benefits * Premium Private Health Insurance * Career development and education opportunities within the company * English clubs and platform for learning languages * Mental well-being program (iFeel) * Commuting allowance * Company events * FitPass membership * Discounts for employees * Personal Gaming Account * Coffee, fruits, and snacks in the office * On-site canteen with subsidized prices for food and drinks * Seniority Awards * Referral program - you can recommend the best talents to the Company and receive a reward About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

As a pioneer in digital outdoor navigation with a suite of apps, onX was founded in Montana, which in turn has inspired our mission to awaken the adventurer inside everyone. With more than 400 employees located around the country working in largely remote / hybrid roles, we have created regional “Basecamps” to help remote employees find connection and inspiration with other on Xers. We bring our outdoor passion to work every day, coupling it with industry-leading technology to craft dynamic outdoor experiences. Through multiple years of growth, we haven't lost our entrepreneurial ethos at onX. We offer a fast-paced, growing, tech-forward environment where ownership, accountability, and passion for winning as a team are essential. We value diversity and believe it leads to different perspectives and inspires both new adventures and new growth. As a team, we're hungry to improve, value innovation, and believe great ideas come from any direction. Important Alert: Please note, on Xmaps will never ask for credit card or SSN details during the initial application process. For your digital safety, apply only through our legitimate website at on Xmaps.com or directly via our LinkedIn page. WHAT YOU WILL DO onX is seeking a talented Senior Data Engineer to be responsible for creating and maintaining onX's data ecosystem to enable the discoverability and access to our data for the business. In this role, you will be responsible for designing, building, and maintaining scalable, high-performance data pipelines and infrastructure to support analytics, machine learning, and data-driven decision-making. You will work closely with cross-functional teams, including Data Scientists, Business Analysts, and Software Engineers, to deliver efficient data solutions in a cloud-native environment. As an onX Senior Data Engineer, your day to day responsibilities would look like: (Essential Job Duties) Design and build scalable data pipelines using GCP services like Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer to ingest, process, and store large datasets from multiple sources. Develop, test, and maintain data models, schemas, and ETL (Extract, Transform, Load) processes using tools like BigQuery, Cloud SQL, and Data Studio. Collaborate with stakeholders to understand business requirements and translate them into effective data infrastructure solutions. Optimize data pipelines for performance, scalability, and cost-efficiency, utilizing GCP-native tools such as Dataflow, Dataproc, and Bigtable. Ensure data quality, integrity, and security by developing validation processes and enforcing best practices for data governance and access control using GCP Dataplex and Security tools. Automate workflows and processes using Cloud Composer (Apache Airflow) to ensure data pipelines run reliably and on schedule. Perform troubleshooting and root cause analysis on data pipelines and infrastructure issues, ensuring high availability and reliability. Collaborate with SRE and Infrastructure teams to manage GCP resources efficiently, including compute, storage, and network resources. Stay updated with GCP services, best practices, and emerging technologies to improve and optimize the data platform continuously. LOCATION onX has created a thriving distributed workforce community across several US locations. This position can be performed from an onX corporate office, “Basecamp,” or “Connection Hub". Corporate Offices: onX was founded in Montana with offices in Missoula and Bozeman. If you prefer to work in an office at least part of the time this is a great option. Basecamps: Basecamps are established virtual workforce communities where a sizable number of distributed team members group for work, volunteering, socializing, and adventure. Our current Basecamps are located within a 90-mile radius of the following: Austin, TX; Charlotte, NC; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA. Connection Hubs: Connection Hub locations are smaller, emerging communities of distributed team members. Our current Connection Hubs are located within a 60-mile radius of the following: Boise, ID; Charleston, SC; Dallas/Fort Worth, TX; Phoenix, AZ; Richmond, VA; Spokane, WA; and Vermont. WHAT YOU'LL BRING 8+ years of experience in data engineering, with at least three years working in a cloud environment (preferably GCP). Expertise in GCP services, including BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Storage, Cloud Functions, and Cloud SQL. Strong proficiency in SQL and experience with writing complex queries for data extraction and analysis. Hands-on experience with ETL development and workflow orchestration using tools like Apache Airflow. Proficiency in one or more programming languages like Python, or Scala for data processing and pipeline development. Experience with streaming data pipelines (e.g., using Pub/Sub, Dataflow) and batch processing. Understanding of data warehousing concepts and experience working with large datasets and query optimization. Knowledge of best practices in data governance, security, and compliance, particularly in a cloud environment. Strong analytical, problem-solving, and troubleshooting skills with attention to detail. Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team. ADDED BONUSES Though not required, we would be thrilled to consider candidates with any of the following: Bachelor's degree in computer science or comparable field or equivalent experience GCP certification (e.g., Professional Data Engineer or Cloud Architect) is highly desirable. Experience with machine learning infrastructure on GCP, such as AI Platform and TensorFlow. Familiarity with DevOps practices, including CI/CD pipelines, infrastructure as code (e.g., Terraform), and containerization (e.g., Kubernetes, Docker) in GCP. Experience with other data processing frameworks, such as Apache Spark. COMPENSATION onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $140,000 to $175,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance. WHAT WE ARE OFFERING YOU Competitive salaries, annual bonuses, equity, and opportunities for growth Comprehensive health benefits including a no-monthly-cost medical plan Parental leave plan of 5 or 13 weeks fully paid 401k matching at 100% for the first 3% you save and 50% from 3-5% Company-wide outdoor adventures and amazing outdoor industry perks Annual “Get Out, Get Active” funds to fuel your active lifestyle in and outside of the gym Flexible time away package that includes PTO, STO, VTO, quiet weeks, and floating holidays PERFORMANCE ESSENTIALS In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at **************. Position open until filled. #LI-Remote At onX, we believe that diversity makes us better. Bringing together a diverse set of backgrounds, ideas, and opinions helps us to achieve our mission to awaken the adventurer in everyone. We are proud to be an equal opportunity employer. onX is committed to equal opportunity not only in our hiring practices but also in our employment practices, including but not limited to development, compensation, and promotion. We strive to build an inclusive work community where everyone can be their authentic self, and together, we win as a team. Come join us! onX does not sell any Personal Information, but we may transfer employment related records to our service providers or third parties that provide business services to onX or as required by law. For more information, see our . As part of our interview process, your conversation may be recorded for documentation purposes to allow interviewers to focus fully on the discussion. Recordings are confidential and accessible only to authorized personnel, without the use of AI-based summarization. Please note, onX respects all applicable laws regarding recording consent, and you will have an opportunity to opt-out if preferred.

INNOVATE without boundaries! At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success -- so we give you unlimited access to everything you need to provide support to your business unit. Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to support the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen. *Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position. Your Role on Our Team: The Sr Data Governance Engineer will be responsible for managing and optimizing the Unity Catalog in Databricks for our company. This role will oversee the implementation, maintenance, and continuous improvement of our data governance framework within the Databricks environment. Key responsibilities include organizing and structuring data assets, managing access controls and permissions, ensuring data lineage and metadata management, and implementing data quality and security measures. The specialist will collaborate closely with data engineering, analytics, and business teams to establish best practices for data management, enforce compliance policies, and enable secure and efficient data sharing across the organization. They will also play a crucial role in data discovery, cataloging, and the overall enhancement of our data ecosystem's visibility and usability through the effective utilization of Unity Catalog's features. You'll be DISRUPTIVE through these duties and responsibilities: Implement and maintain the Unity Catalog structure, including creating and organizing catalogs, schemas, and tables to ensure efficient data management and governance. Manage access controls and permissions, utilizing Unity Catalog's comprehensive access control model to grant or revoke privileges for users, groups, and service principals. Configure and manage external locations and storage credentials, enabling secure access to data sources in external storage systems like Azure Blob Storage. Implement data security measures, including row and column-level security using dynamic views, to ensure users only access authorized data subsets Oversee data lineage tracking and auditing capabilities provided by Unity Catalog, enhancing data governance and compliance efforts Collaborate with data engineering, analytics, and business teams to establish best practices for data management, enforce compliance policies, and enable secure data sharing across the organization The TOOLS you'll bring with you: Bachelor's degree in a technical field or equivalent relevant experience. Strong written, verbal, analytical, and interpersonal skills. Extensive experience with Databricks and its ecosystem, including a deep understanding of Delta Lake, Spark, and data lakehouse architecture. Strong knowledge of data governance principles, practices, and frameworks, with a focus on implementing these in cloud-based environments Familiarity with cloud platforms (preferably Azure, given Databricks' strong integration), including understanding of cloud storage systems and identity management. Excellent communication and collaboration skills, with the ability to work effectively with technical teams and explain complex concepts to non-technical stakeholders Proficiency in SQL and at least one programming language commonly used in data engineering (e.g., Python, Scala). Other TOOLS we prefer you to have: Advanced proficiency in Databricks Unity Catalog architecture, including deep understanding of its three-level namespace (metastore, catalog, schema) Strong expertise in cloud security and access control mechanisms, with ability to implement fine-grained permissions and governance strategies Comprehensive knowledge of data engineering principles, including experience with Delta Lake, PySpark, and SQL programming Proven ability to configure and manage compute resources compatible with Unity Catalog, understanding access modes and security requirements Working Conditions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Frequently required to stand, walk, bend, stretch, reach, and effectively communicate with others in the workplace Sitting for prolonged periods of time Prolonged exposure to computer screens Repetitive use of hands and fingers to operate office equipment, machinery, hand tools and/or power tools Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus May require wearing personal protective equipment which includes, but is not limited to, safety glasses, gloves, and hearing protection May work in laboratories and/or controlled, enclosed, restricted areas Noise levels range from moderate to loud Must be able to lift up to 50 pounds at a time May require travel dependent on company needs We provide these great perks and benefits: Robust health, dental and vision insurance plans Generous 401 (K) savings plan Education assistance On-site wellness, fitness center, food, and coffee service And many more, check out our benefits site HERE. Milwaukee Tool is an equal opportunity employer.

NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe. Job Description: Join our dynamic global BI team, where we collaborate with diverse business functions to empower them with cutting-edge data and AI solutions. Together, we drive efficiency and innovation, helping the company thrive in a data-driven world. Transform * Utilize cloud resources (Azure Cloud, Microsoft Fabric) to bring the business data into required views * Automate data transformation processes through different ETL cloud tools Monitor/Test Quality * Monitor database performance * Thoroughly test and validate the data quality of data tables * Address data quality issues and help fix them * Utilize various ETL tools to validate main KPIs * Review the ETL logic and advise if changes required Document Changes * Create/Maintain technical documentation of the ETL process * Create/Maintain business documentation of relevant KPIs. Analyze * Collaborate with stakeholders to understand project needs and plan data solutions * Ensure data accuracy and prepare detailed reports * Apply algorithms and statistical methods for data insights * Define and implement new KPIs * Conduct and present data analysis Visualize * Design, develop, and maintain Power BI dashboards * Publish dashboards and manage user access controls * Resolve data and performance issues in workbooks * Manage advanced reporting and analytics * Develop user training programs for effective Power BI usage Mentor * Support team members and end users with Power BI * Mentor team members on all processes Requirements: * Essential Skills: Proven experience in Data Engineering, GitHub, Azure Cloud, Power BI & MS Fabric and Business Analysis * Preferred Qualifications: Experience with Python/Pandas or AI/ML Offers of employment are conditional upon passage of screening criteria applicable to the job. Company Benefits: * Private Health Insurance * Employee Referral Bonus Program * Wellbeing Resources * Baby Bonus * Life, Accident & Disability Insurance * Numerous opportunities for internal career pathing and advancement * Discounts for employees at NCR Atleos partners EEO Statement NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law. Statement to Third Party Agencies To ALL recruitment agencies: NCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.

About Merkle Merkle, a dentsu company, powers the experience economy. For more than 35 years, the company has put people at the heart of its approach to digital business transformation. As the only integrated experience consultancy in the world with a heritage in data science and business performance, Merkle delivers holistic, end-to-end experiences that drive growth, engagement, and loyalty. Merkle's expertise has earned recognition as a "Leader" by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management. With more than 16,000 employees, Merkle operates in 30+ countries throughout the Americas, EMEA, and APAC. For more information, visit *************** We are looking for Senior Data Engineer to join our Talent Community. This is not a current open role. Please apply to this ad if you would like to be kept in the loop of our future openings. Job Description * Design and implement data ingestion and processing from diverse sources, leveraging 'big data' technologies, including related AWS services: Spark, Glue, Airflow, Kafka, Data Pipeline, NoSQL DBs, SageMaker, and ML Studio. * Develop and maintain data tools for data science and analyst teams, supporting AI/ML model building, optimization, and productionization. * Assemble large, complex data sets for a data lakehouse, emphasizing advanced data modeling techniques including star schemas. * Create data pipelines for actionable insights in areas like marketing automation, customer acquisition, and other key business domains. * Guide and support fellow data engineers, assuming a leadership position in assigning and ensuring the successful completion of data engineering tasks within a diverse and collaborative product team. * Collaborate with stakeholders to address data-related technical issues, support data infrastructure needs, and optimize data delivery and scalability within the AWS environment. * Support pre-sales activities by proposing technical solutions, providing accurate effort estimates, and showcasing expertise in AWS Cloud Technologies. Qualifications * Proven experience building and productionizing big data architectures, pipelines, and datasets within AWS. * Solid understanding of AWS 'big data' concepts and patterns, including data lake, lambda architecture, streaming processing, DWH, BI, and reporting. * Deep hands-on development experience in the AWS environment, with a focus on AWS services like Glue, EC2, EMR, RDS, Redshift, Sagemaker, etc. * 4+ years of experience in a Data Engineer role, demonstrating expertise in big data tools (Spark, Kafka), object-oriented/scripting languages (Python, Scala, Java, R, C++), and AWS cloud services. * Implementation of large-scale data-oriented pipelines/workflows using ETL tools and extensive experience with relational (like MS SQL, PostgreSQL, Redshift) and NoSQL databases (Cassandra, MongoDB, Dynamo DB). * Proficiency in data modeling techniques, including dimensional modelling and star schemas. * Relevant analytic skills related to structured and unstructured datasets. * Ample experience in utilizing CI/CD automation tools * Good project management and organizational skills. * Preferred Skills: * Past experience delivering business intelligence projects using tools like PowerBI, Tableau, Qlick Sense, Keboola. * Working knowledge of message queuing, stream processing, and highly scalable real-time data processing using technologies like Kafka. * Experience with data pipeline/workflow management tools such as Airflow, Kestra, AWS Glue. With us, you will become part of: * An international, amazing team, where you can gain new/relevant experience * A dynamic and supportive environment where you will never happen to fall into a routine * Possibility to grow, in accordance with your skills and interests connected with future development * Start-up agile atmosphere * Friendly international team of creative minds We, obviously, offer even more: 5 weeks of vacation + 3 wellness days ️ 2 Volunteering days to share the kindness of your heart with others Flexible working hours and home office Fully covered certifications in Salesforce, Adobe, Microsoft, etc. (delete for non-tech roles) Full access to Dentsu Academy, LinkedIn Learning, on-site learning sessions Pet friendly offices Edenred meal and cafeteria points Team events: company parties, monthly breakfasts, and pub quizzes Snacks, and drinks at the office Referral bonus programme Laptop + equipment Corporate mobile phone subscription #LI-MERKLE #LI-SOFI Location: Prague Brand: Time Type: Full time Contract Type: Permanent