Data Scientist Jobs in Boulder, CO

Spectrum Reach (********************** is the advertising sales division of Charter Communications. We grow businesses of all sizes with custom, multiscreen advertising solutions.The Data Science team at Spectrum Reach is a high performing and highly collaborative group of data engineers and data scientists. We build AI/ML forecast and optimization models to support our advertising sales business, and the pipelines to enable those models throughout their lifetimes. We are supported by a separate, dedicated data team that develops and maintains the ETL to bring data from source systems to the corporate data warehouse where our work starts. We deal with demanding modeling problems and vast amounts of data, with all the challenges those present, but within the context a strong and respected team where solid skills and good work are appreciated and acknowledged. If that aligns with your experience and interest, wed love to hear from you. Responsible for developing and maintaining scalable, reliable, and consistent systems that support data operations for data science, analytics, applications, and reporting by gathering and processing raw data at scale. Profiles data to measure quality, integrity, accuracy, and completeness and delivers solutions by developing, testing, and implementing code and scripts. Develops processes for data modeling, mining, and consumption. MAJOR DUTIES AND RESPONSIBILITIES Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity Collaborates with data, data science and business teams to improve data models that feed AI/ML models, applications, and business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it Writes unit/integration tests, contributes to engineering wiki, and documents work Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues Works closely with data scientists, frontend and backend engineers, analysts, and product managers Designs data integrations and data quality framework Identifies and evaluates open source and vendor tools for data lineage Works closely with business units and engineering teams to develop strategy for long term data platform architecture REQUIRED QUALIFICATIONS Proficiency with cloud based services Proficiency in coding/scripting and in the use of code repositories Proficiency with SQL ETL techniques and familiarity with data platforms such as Terradata, Databricks and Snowflake Proficiency dealing with big data Proficiency with data workflow/data prep platforms, such as Airflow, Infomatica, Pentaho, or Talend Basic background in Linux/Unix/CentOS or Windows installation and administration Familiarity with rest, soap, RPC, and gRPC API protocols Exposure to visualization or BI tools, such as Tableau and Looker Exposure to AI/ML libraries and tooling, such as Sklearn and TensorFlow Familiarity with agile work practices and frameworks Ability to identify and resolve end-to-end performance, network, server, and platform issues Attention to detail with the ability to effectively prioritize and execute multiple tasks PREFERRED QUALIFICATIONS Advanced knowledge of SQL and SQL optimization techniques Experience with Snowflake Experience with Airflow and with Spark Proficiency coding with Python and shell scripts, experience with GIT Proficiency in the AWS cloud environment Experience working and/or certification in SAFe Knowledge of best practices and IT operations in always-up, always-available services Experience with Tableau and/or Looker Experience in advertising sales, cable or related industries Education Degree in an engineering discipline or computer science, or related field, or equivalent work experience, Master of Science preferred. EGN620 2025-49914 2025 Here, employees dont just have jobs, they build careers. Thats why we believe in offering a comprehensive pay and benefits package that rewards employees for their contributions to our success, supports all aspects of their well-being, and delivers real value at every stage of life. A qualified applicants criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. This job posting will remain open until 2025-05-02 07:35 PM (UTC) and will be extended if necessary. The base pay for this position generally is between $100,600.00 and $214,200.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Charter Communications is known in the United States by our Spectrum brands, including: Spectrum Internet, TV, Mobile and Voice, Spectrum Networks, Spectrum Business and Spectrum Reach. When you join us, youre joining a strong community of 95,000 employees working together to serve nearly 32 million customers in 41 states and keep them connected to what matters most. Watch this video to learn more. Who You Are Matters Here Were committed to growing a workforce that reflects our communities, and providing equal opportunities for employment and advancement. EOE, including disability/vets. Learn about our inclusive culture. RequiredPreferredJob Industries Other

Job Title: Data Scientist Duration: 06 months Note: Only local and W2 Candidates/ No C2C/ No sponsored As a Data Scientist, you will play a key role in shaping data-driven processes and methodologies to enhance user experience. You will collaborate with cross-functional teams to develop an experimentation strategy for Workday solutions, leveraging insights from both data science and user research to drive business and product decisions. This role requires a passion for data, strong analytical skills, and the ability to translate complex data into actionable insights. You should be highly motivated to learn and apply new techniques while effectively communicating findings to stakeholders. Key Responsibilities Define processes, methods, and outcomes for leveraging data science to enhance user experience. Partner with cross-functional leaders to refine Workday's experimentation strategy. Identify opportunities to use existing data from multiple sources to drive product improvements and strategic decisions. Collaborate with leadership to determine the optimal resourcing plan for a data science team focused on experimentation and UX. Develop models to analyze user behavior and product usage patterns. Conduct analysis using diverse datasets and methodologies to uncover meaningful insights. Contribute to UX metric development and collaborate with research teams to provide actionable insights Basic Qualifications Bachelor's degree (or equivalent experience) in Computer Science, Applied Math, Physics, Engineering, Statistics, Economics, or a related field. 2+ years of industry experience in Data Science and Analytics. 2+ years of experience with data querying languages (e.g., SQL) and scripting languages (e.g., Python). Strong foundation in statistical modeling and regression analysis. Expertise in data cleaning, transformation, and visualization. Demonstrated experience in designing experiments with diverse data sources. Preferred Qualifications Master's or PhD in Statistics, Economics, Psychology, Applied Math, Physics, Computer Science, or related fields. 2+ years of experience in analytics focused on enhancing products and driving innovation. Strong data storytelling and communication skills to influence teams and leadership. Creative problem solver with the ability to apply first-principles reasoning to complex challenges. Top Skills (Must-Have) Experimental Design R Programming Regression Analysis Robust Statistics Preferred Skills (Nice-to-Have) Strong Writing & Communication Skills Comprehensive Network Analysis Confidence Intervals & Effect Sizes Multilevel Modeling (Hierarchical Linear Modeling)

Our client is seeking a skilled Statistical Programmer to join their team. In this role, you will provide programming support for Phase 1 through Phase 3 clinical trials, focusing on disease monitoring and project integration. As a key member of the Biometrics team, you will work collaboratively across multiple projects and therapeutic areas, ensuring the timely delivery of statistical data and analysis. This position offers the flexibility of remote work, with the chance to contribute to cutting-edge research in a dynamic and evolving environment. Essential Duties and Responsibilities (but not limited to): Lead programming efforts for various clinical studies, from Phase 1 to Phase 3, across multiple therapeutic areas. Develop and review annotated Case Report Forms (CRFs) and SDTM datasets, ensuring accurate data representation. Program SDTM, ADaM, and TLFs, and write detailed dataset specifications. Perform quality control on datasets and tables, ensuring compliance with project requirements. Work closely with Clinical Operations, Clinical Data Management, Drug Safety, Regulatory Affairs, and Project Management teams to ensure the timely and accurate delivery of statistical programming work. Provide technical input on documentation produced by other functions, including biostatisticians, medical writers, and data managers. Ensure clear and effective communication regarding project progress, timelines, and any issues that may impact deliverables. Contribute to process improvement initiatives aimed at enhancing efficiency and quality in statistical programming. Identify new tools and technologies to optimize the programming workflow and improve deliverable quality. Serve as a mentor and role model, setting high expectations for quality, creativity, and ownership across projects. Manage competing priorities and foster a collaborative work environment to support project success. Qualifications: Master's degree in Statistics, Computer Science, Mathematics, Engineering, or a related field. 1-5 years of experience in clinical trial programming within the biotechnology, pharmaceutical, or healthcare industry. Expertise in SAS programming, with proficiency in additional statistical software such as R or S-Plus. In-depth knowledge of CDISC standards, including SDTM, ADaM, and controlled terminologies. Strong organizational skills and the ability to prioritize and manage multiple tasks efficiently. Self-motivated, technically proficient, and able to work independently while maintaining a strategic perspective on statistical programming processes. Experience working with cross-functional teams to ensure project alignment and timely execution. Knowledge of process improvement strategies within statistical programming is a plus. POST-OFFER BACKGROUND CHECK IS REQUIRED. Digital Prospectors is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Digital Prospectors affirms the right of all individuals to equal opportunity and prohibits any form of discrimination or harassment. Come see why DPC has achieved: 4.9/5 Star Glassdoor rating and the only staffing company (< 1000 employees) to be voted in the national Top 10 ‘Employee's Choice - Best Places to Work' by Glassdoor. Voted ‘Best Staffing Firm to Temp/Contract For' seven times by Staffing Industry Analysts as well as a ‘Best Company to Work For' by Forbes, Fortune and Inc. magazine. As you are applying, please join us in fostering diversity, equity, and inclusion by completing the Invitation to Self-Identify form today! ******************* Job #17480

At NewGen Strategies and Solutions, our vision is to be the consulting company that makes a difference for our clients, our employees, and our community. Our values include making an impact, fostering innovation, expect quality, cultivating community and serving as a trusted advisor to our clients and community. We are searching for a Hybrid Data Engineer to join our team in our Lakewood, CO office who is excited by the opportunity to develop new machine learning based analytical tools for the rapidly evolving energy industry. Other qualities desired in the ideal Hybrid Data Engineer include: Intellectually curious Exceptional attention to detail Focus on customer experience Stays calm in high-stress situations Collaborative team player Comfortable working with constantly evolving requirements and deadlines Can synthesize large amounts of data Able to effectively use programing tools to problem solve (python, cloud services, etc.) Critical and analytical thinker Can work on multiple assignments at once If our Data Scientist position sounds like the opportunity for you, please send your resume. We look forward to hearing from you! Job Description At NewGen, we're a dynamic, close-knit company that offers you the opportunity to take on diverse, impactful responsibilities. We're seeking a skilled Hybrid Data Engineer to join our team in a role that combines 60% data engineering, 20% development, and 20% data science expertise. In this position, you'll play a pivotal role in empowering our teams and clients by managing data warehouses and delivering tailored, high-performance ETL solutions. You'll collaborate closely with our Strategic Analytics team, which includes a dedicated full-time data scientist and is led by a hybrid developer/data scientist. If you're eager to leverage your talents in a multifaceted, influential capacity, we invite you to help shape the future of data for the utility space at NewGen. Successful candidate will be responsible for the design, implementation, and maintenance of analytical solutions utilizing a variety of software systems and coding languages, including Python, cloud services (Google and/or Azure), and Microsoft Excel. Primary job duties and responsibilities will include: Utilize applicable coding language, to design replicable and unique data solutions. Establish data protocol to determine validity and integrity. Manage and maintain cloud data throughout organization and for clients. Work independently and with various internal and external project teams. Conduct research on data techniques and successfully integrate results. Present vetted solutions to internal and external clients. Support all other project work, as directed. The successful candidate will have the following qualifications: Prior experience in data engineering with preference for large data management. Problem solving and data analytical capabilities. Ability to work collaboratively within a team and communicate effectively with colleagues and clients. Must be proficient in English language and ability to communicate effectively using verbal, written, and visual graphic skills. Professional certifications in applicable areas considered a plus. Preference for experience with SQL, Python, and/or JavaScript (including Office JavaScript). Experience with other coding languages/platforms for advanced analytics are also desirable (Linux, Bash, PowerShell, Java). Experience with API's and webscraping is considered a plus. Some design and developer experience in creating user-facing interfaces, dashboards, and/or data solutions is considered a plus. Additional Information Location: Lakewood, CO We offer competitive salaries and bonuses. Our benefits package is competitive and includes medical insurance, 401K Plan with matching, paid personal time off and holidays, and flexible work schedules. Investment in both formal and informal professional development is encouraged and funded by NewGen. Base Compensation Range: $90,000-$125,000 Employee Type: Full-time. Non-Exempt. Legally Authorized to Work in United States: To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. NewGen is an equal opportunity employer and complies with all federal, state, and local fair employment practices laws. NewGen strictly prohibits and does not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, religion, creed, national origin or ancestry, gender identity, sexual orientation, marital status, sex (including pregnancy), age, disability, past, current, or prospective service in the uniformed services, or any other characteristic protected under applicable federal, state, or local law.

Our Client is seeking a Data Analyst Level 1 contractor to support critical wildfire mitigation initiatives, software upgrades, and GIS data management within our Advanced Distribution Management System (ADMS). The role requires strong GIS technical expertise combined with data analytics skills to ensure accurate device modeling, communication data validation, and system optimization. This is an individual contributor role with significant cross-functional collaboration across engineering, IT, and control room operations. Key Responsibilities Maintain and enhance geospatial data for ADMS, ensuring accuracy and integrity of substation and field device models. Apply and validate communication settings for remote-controlled devices using GIS and ADMS. Process instantiation requests for new devices, verifying compliance with ADMS capabilities. Interpret engineering diagrams to ensure ADMS models align with electrical substations and industry standards. Collaborate with internal engineering teams, business IT, and control room operators to troubleshoot and resolve data discrepancies. Perform data cleanup and validation for system upgrades, ensuring seamless transitions to new ADMS versions. Participate in weekly meetings to coordinate with cross-functional teams on data corrections and implementation plans. Provide recommendations for data accuracy improvements and process standardization. Required Qualifications 2-3 years of experience working with GIS systems in a critical infrastructure setting (e.g., gas, telecom, transportation, utilities). Bachelor's degree in Geography, GIS, Computer Science, or a related field. Proficiency in Microsoft Office Suite, especially Excel. Strong experience with version-based GIS modeling. Ability to interpret engineering schematics and understand control system operations. Preferred Qualifications Experience with ADMS or similar grid management software. Familiarity with geospatial databases, SQL, or Python for data analysis. Knowledge of substation operations and electrical distribution systems. Prior experience working in a utility or energy industry environment. Soft Skills & Work Environment Strong communication skills to coordinate with multiple stakeholders across engineering and IT. Detail-oriented with a structured approach to troubleshooting and data validation. Growth mindset with a willingness to learn proprietary systems like ADMS. Ability to prioritize tasks and adapt to operational changes, such as weather-related adjustments to grid operations. Works well in a predictable, process-driven environment with standardized procedures.

We are seeking a highly skilled Data Scientist with expertise in statistical modeling, machine learning, and coding, who can translate complex data into actionable business insights. In this role, you will work cross-functionally with product, marketing, and business teams to drive data-driven decision-making. The ideal candidate has a strong technical foundation, analytical mindset, and a passion for solving real-world business problems. Key Responsibilities Develop, test, and implement predictive models and machine learning algorithms to solve business challenges. Analyze large datasets to identify trends, patterns, and insights that inform strategic decisions. Write efficient, scalable code for data analysis, model development, and automation using Python, R, SQL, or similar tools. Design and execute experiments (A/B testing, causal inference, etc.) to measure the impact of business initiatives. Collaborate with stakeholders to translate business questions into data science problems and communicate findings effectively. Build and maintain data pipelines and ETL processes to ensure data quality and availability. Present data-driven recommendations to executives and cross-functional teams in a clear and actionable manner. Stay updated on the latest advancements in data science, machine learning, and AI. Qualifications Master's or Ph.D. in Data Science, Computer Science, Statistics, Economics, or a related field. 3+ years of experience in data science, analytics, or a similar role. Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R for modeling and analysis. Solid experience with SQL for querying and managing structured data. Knowledge of machine learning, statistical modeling, and optimization techniques. Experience working with cloud platforms (AWS, GCP, Azure) and big data technologies. Ability to communicate complex findings to non-technical stakeholders in a clear, concise manner. Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn). Familiarity with business intelligence, marketing analytics, or financial forecasting is a plus. Preferred Skills Experience in causal inference, econometrics, or Bayesian methods. Hands-on experience with ML Ops, model deployment, or data engineering workflows. Understanding of business metrics, growth strategies, and financial modeling. Ability to work in a fast-paced, cross-functional environment. Why You'll Like Working for DigitalOcean We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees. The salary range for this position is $165,000 - $195,000 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. *This is a remote role #LI-Remote #LI-SK1

WHO WE ARE: TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, SEI, Motive Partners and a who's who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes. We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes. In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions. OUR VALUES: Go with your GUT Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses. Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully. I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together. WHAT YOU'LL BE DOING: AMP provides Asset Management firms with unique insights to turbocharge their distribution of fund products through the US Intermediary/advisor-sold channel. It is the first end-to-end digital distribution solution in the industry. Our centralized data platform leverages the combined data from all of our services, which is then enriched with partner and third-party data. We provide insights to asset managers about their target audience and how to best reach that audience. We are looking for a Data Scientist that understands fund distribution, the data behind it, and supervised machine learning. The ideal candidate will use their asset management industry experience to drive fund distribution channel optimizations for our clients, and so increase AUM per client and product reach. You must be a motivated and tenacious self-starter who is comfortable interpreting technology requirements, based on business requirements, and implementing them with maximum impact to the users. You will be expected to develop technology that minimizes technical debt while maximizing the customer experience. This is a high-impact role on a lean team that is results-and execution-oriented. We are a team of do-ers! THE ROLE: Design and implement solutions to deliver measurable ROI within our clients' fund distribution channels Develop across the Data Science pipeline, from feature store ETL to batch transform jobs with trained ML models Model complex fund distribution problems and discover insights through the use of statistics, machine learning, and visualization techniques. Responsible for creating meaningful data visualizations to communicate results and highlight business impact WHO YOU ARE: 2+ years of data science experience, ideally in the Asset Management or Wealth Advisory industry Proficient with Python and SQL Experience with feature engineering and training+tuning ML models. AWS Experience (ie Sagemaker, Redshift, S3) Experience with A/B testing, RCTs, or any statistical experiment is a bonus Proficient in managing product development deadlines, overcoming roadblocks, and managing expectations Must be able to drive appropriate documentation including requirements and technical documentation Bachelor's in computer science or related field Ability to thrive in a highly demanding, entrepreneurial, and fast-paced environment A top performer with a proactive approach who has a “doer” & problem-solver mentality An exceptional team player with strong communication skills A local presence in Denver/Boulder or Charlotte is preferred COMPENSATION AND BENEFITS PACKAGE: The expected starting salary range for this position in Colorado is between $120,000 - $150,000. Applicable salary ranges may differ across markets. Actual pay will be determined based on experience and other job-related factors permitted by law. This is a hybrid position with four days in-office, one day flex. TIFIN offers a competitive benefits package that includes: Medical, dental, vision, life and disability insurance Flexible Spending Account (FSA) and Health Savings Account (HSA) 401(k) Retirement Plan Flexible PTO policy and Company-paid holidays Parental Leave: 12 week paid maternity, 6 week paid paternity leave Corporate Social Responsibility and volunteering opportunities Access to our Chief Mindfulness Officer for Mindfulness events and 1:1 personal coaching Company sponsored events like mindfulness events, development workshops, team dinners, pickleball games, happy hours, holiday parties and more! The ability to make a real impact in an incredibly fast-growing organization TIFIN is proud to be an equal opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.

6+ Month W2 Contract Boulder, CO (Hybrid) Benefits You'll Love: NextDeavor offers health, vision and dental benefits for contract employees Paid sick leave eligibility is contingent on state of residence Optional 401k Plan (excludes employer match) Opportunity to get your foot in the door at a well-established corporation, with potential for extended or permanent full-time employment (NextDeavor boasts an impressive conversion rate of approximately 70%)! Become a key player as a Data Scientist: As a Data Scientist, you will play a critical role in helping define and grow processes, methods, and outcomes for using data science to inform excellent user experience. You will play a pivotal role of working with a cross functional group of leaders and individuals in evolving an experimentation strategy for Workday solutions. You will work closely with research leadership and senior contributors to use converging evidence from data science and user research to influence business and product strategy as well as improvements to existing products. Our ideal candidate is an experienced data scientist who is passionate about data and has a track record of using data to inform decisions. You have the curiosity and self-motivation to continuously learn new techniques and tools to extract value from data. You are a strong communicator with a talent for storytelling, and ability to work well with cross functional partners. Here's how you'll make an impact on the team: Lead efforts to define processes, methods and outcomes for using data science to inform excellent user experience. Work with cross functional leaders and individuals to evolve Workday's experimentation strategy. Identify opportunities to use existing data from multiple sources to inform strategy, product improvements and experimentation opportunities. Partner with leadership to determine an optimal resourcing plan for a data science team focused on experimentation and user experience. Develop models of usage and user behavior through analysis of complex data from a variety of sources. Analyze complex data from a variety of sources using diverse set of tools and techniques. Play a role in developing and delivering key UX metrics and partner with research to provide actionable insights to improve the user experience. Here's what you'll need to be successful in this role: Bachelor's degree or equivalent experience in computer science, applied math, physics, engineering, statistics, economics or related field Demonstrated experience in designing experiments using various forms of data 2+ years of industry experience in Data Science and Analytics 2+ years of experience in data querying languages (e.g. SQL) and scripting languages (e.g. Python) A strong background in statistical modeling and regression analysis Expertise in data cleaning, transformation, and visualization Here's what else might help you out: Master's degree or PhD in Statistics, Economics, Psychology, Applied Math, Physics, Computer Science or other related field 2+ years of industry experience in analytics focused on enhancing products and driving innovation Ability to communicate analytics results and data storytelling to influence teams and leaders Creative thinker able to apply first-principles reasoning to solve complex problems Pay Range: $62.00 - $67.75/hour Ready to make your mark? Take the leap and apply directly here: - your application is in good hands.

Data Scientist, Boulder, CO Ascend Analytics' climate technology software and services provide critical insights to power the energy transition. The company's products enhance critical power supply decisions from short-term operating strategies to long-term investment and resource planning. Ascend's solutions serve as the core analytic infrastructure for electric utilities, independent power producers, electric retailers, and financiers of energy infrastructure. To learn more about Ascend, please visit us at ************************ Your Impact at Ascend Analytics This position will be a key member supporting Ascend Analytics' SmartBidder team, which works on optimization and management of energy storage and renewable assets. You will be part of a collaborative team advancing software solutions and analytics to support the clean-tech power revolution. Your strong software engineering skills will support mission critical decision analytics for renewable and battery storage power providers around the globe. Job Responsibilities * Prototype and experiment with novel machine learning models and mathematical algorithms for short term energy market forecasting * Optimize and enhance computational efficiency of algorithms and software design * Work with our team of analysts to integrate new data sources, evaluate performance, automate, and generalize data science models within production software * Design and write clean, scalable, production code in Python * Refactor code for improved performance, stability, and scalability * Implement systems for collecting, storing, and working with data at scale * Communicate clearly and effectively (orally and in writing) with both technical and nontechnical stakeholders * This position involves working collaboratively both within your software team and outside with the analyst team. The software development team follows an agile scrum process, and all team members are expected to contribute to technical design reviews, implementation strategies, operational system support, and sprint planning. Required Qualifications * 2+ Years experience in a highly related role * BS or MS in Engineering, Computer Science, Data/Information Science, Physics, Applied Mathematics, Operations Research, Statistics, Economics, or Power Systems (or related fields) * Demonstrated academic or professional software coding experience in Python * Experience performing independent research * Familiarity with data processing in Python (including Pandas, Numpy, Sympy, Scikit-Learn) and machine learning development in Pytorch (or similar) * Strong interpersonal skills, teamwork skills, and work ethic * Demonstrated interest in the energy sector (e.g. coursework, professional development activities, podcasts, independent reading, etc.) Preferred Qualifications * Familiarity or exposure to cloud computing platforms and ecosystems, e.g., Azure, AWS, and containerization, e.g., Docker * Ability to communicate with impact and confidence, both orally and in writing * Understanding of basic microeconomic principles * Knowledge of wholesale electricity markets Compensation: $110,000-140,000 Negotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average. We offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan. We celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics. Ascend Analytics is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at ******************************

An exciting career awaits you At MPC, we're committed to being a great place to work - one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment. We are seeking a highly skilled and experienced Sr. Data Scientist to join our dynamic Data Science and AI team. In this role, you will be instrumental in transforming data into actionable insights and innovative solutions, driving forward our business strategy. You will leverage advanced machine learning, statistical techniques, and analytical prowess to solve complex business challenges, collaborating closely with cross-functional teams to design, develop, and deploy scalable AI-driven models and algorithms.This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate's experience and qualifications. Key Responsibilities + Leads multiple data science projects ensuring alignment with business goals. + Develops predictive models and integrates them with Business Intelligence tools. + Develops and maintains data pipelines for efficient data retrieval and processing. Collaborates with applications and data engineering teams for deploying models at scale. + Mentors junior data scientists in model development and data handling. + Engages with Senior Leadership to inform strategic decisions using business intelligence insights. + Researches and adopts cutting-edge technologies and methodologies in data science. + Manages stakeholder expectations and delivers actionable solutions. + Oversees data processing pipelines ensuring data quality and consistency. + Drives ethical considerations in model deployment and data utilization. + Collaborates with external partners, research institutions, and subject matter experts to gather domain-specific knowledge and datasets. + Performs exploratory data analysis to identify patterns, insights, and communicate findings. + Engage in the ideation and prototyping of new solutions to meet emerging business requirements. + Utilize advanced machine learning techniques (e.g., deep learning, NLP, computer vision, reinforcement learning) to create innovative solutions. Education and Experience + Bachelor's Degree in Information Technology or related field required. + Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field preferred + 5+ years of relevant experience required. + Expertise in Python and proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn). + Deep understanding of ML algorithms (supervised, unsupervised learning, and deep learning) and their applications. + Strong problem-solving, critical thinking, and analytical capabilities. Skills + Artificial Intelligence (AI) and Machine Learning (ML) - Understanding of AI/ML concepts, algorithms, and platforms to design architectures that support intelligent systems and enable AI-driven applications. + Business Domain Knowledge - Understanding of business processes, industry trends, and market dynamics to provide relevant and actionable insights for strategic decision-making. + Communication and Collaboration - Excellent communication skills to effectively interact with stakeholders, gather requirements, present architectural proposals, and collaborate with cross-functional teams. + Data Analysis - The process of measuring and managing organizational data, identifying methodological best practices, and conducting statistical analyses. + Data Ethics & Responsible Innovation - Knowledge of ethical considerations related to data usage, data-driven technologies, and strategies to mitigate biases in data-driven decision-making. + Data Mining and Extraction - Data mining is sorting through data to identify patterns and establish relationships. Data mining parameters include: Association - looking for patterns where one event is connected to another event Sequence or path analysis - looking for patterns where one event leads to another later event Classification - looking for new patterns [May result in a change in the way the data is organized but that's ok] Clustering - finding and visually documenting groups of facts not previously known Forecasting - discovering patterns in data that can lead to reasonable predictions about the future Data mining techniques are used in mathematics, cybernetics, and genetics. Web mining, a type of data mining used in customer relationship management [CRM], takes advantage of the huge amount of information gathered by a Web site to look for patterns in user behavior. + Data Monetization and Data Science - Familiarity with data monetization strategies and techniques, such as data commercialization, data marketplaces, and data value realization. + Natural Language Processing - Proficiency in analyzing and extracting insights from unstructured text data, including sentiment analysis, topic modeling, and language understanding. + Problem-Solving and Analytical Thinking - Strong problem-solving skills to identify architectural challenges, analyze requirements, evaluate options, and propose effective solutions. + Reporting and Dashboarding - The ability to access information from databases, forms, and other sources, and prepare reports according to requirements. + Statistical Analysis - Statistical Analysis is used in support of decision-making and includes fundamental principles such as data collection and sampling, random variable types and probability distributions, sampling, and population distributions, making estimations from samples, hypothesis testing, and statistical process control. As an energy industry leader, our career opportunities fuel personal and professional growth. Location: San Antonio, Texas Job Requisition ID: 00012975 Pay Min/Max: $101,800.00 - $175,400.00 Salary Grade: 11 - 12 Location Address: 19100 Ridgewood Pkwy Additional locations: Denver CO, Findlay, Ohio Education: Bachelors: Information Technology (Required) Employee Group: Full time Employee Subgroup: Regular Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship or any other status protected by applicable federal, state, or local laws. If you would like more information about your EEO rights as an applicant, click here (*********************************************************************************************************************************** . If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at *************************************** . Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. Detailed benefit information is available at mympcbenefits.com. The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program. Equal Opportunity Employer: Veteran / Disability We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role. About Marathon Petroleum Corporation Marathon Petroleum Corporation (MPC) is a leading, integrated, downstream energy company headquartered in Findlay, Ohio. The company operates the nation's largest refining system. MPC's marketing system includes branded locations across the United States, including Marathon brand retail outlets. MPC also owns the general partner and majority limited partner interest in MPLX LP, a midstream company that owns and operates gathering, processing, and fractionation assets, as well as crude oil and light product transportation and logistics infrastructure.

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Our customers love our technology, but it's our caring employees that make Splunk stand out as an amazing career destination. No matter where in the world or what level of the organization, we approach our work with kindness. So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you. Come help organizations be their best, while you reach new heights with a team that has your back. **Role Summary** We're seeking a Senior Product Data Scientist to join Splunk's PX Data Strategy team. In this strategic and hands-on role, you will spearhead advanced analytics initiatives and play a crucial part in refining our data and measurement strategy. With your expertise in forecasting, modeling, regression, and clickstream analysis, you will transform complex data sets into actionable insights that drive data-driven decisions, enhance product performance, and elevate customer experiences. **What You'll Get To Do** + Lead Advanced Analytics Initiatives: Conduct clickstream analysis, forecasting, and predictive modeling to gain insights into user behavior and optimize user journeys. Utilize inferential statistics, including regression analysis, to drive strategic improvements in product performance. + Develop and Optimize Feedback Mechanisms: Create and refine in-app feedback systems using exploratory analysis and A/B testing to enhance data quality and engagement across all user segments. + Integrate and Analyze Data: Combine telemetry data with user feedback metrics to provide a comprehensive view of product performance and user sentiment. Use inferential statistics to identify patterns and drive data-driven decision-making. + Drive Data-Driven Decision-Making: Leverage insights from telemetry and user feedback to inform product teams, facilitating strategic decisions that enhance user experience and align with business objectives. Apply statistical models to predict future trends and outcomes. + Collaborate and Engage with Stakeholders: Work with cross-functional teams to ensure alignment on measurement objectives and strategies. Use data-driven insights to guide product planning and execution, fostering a culture of collaboration and innovation. **Must-have Qualifications** + 8+ years of experience with a Bachelor's degree in Data Science, Statistics, Mathematics, or a related field, or equivalent applied experience. + Proven expertise in advanced analytics, including forecasting, modeling, regression analysis, and clickstream analysis, to extract actionable insights from complex data sets. + Strong skills in statistical analysis, data interpretation, and experimental design, with a particular focus on applying inferential statistics to solve business challenges. + Demonstrated ability to collaborate effectively with cross-functional teams, driving data-driven decisions that enhance product strategy and performance. + Experience in synthesizing telemetry data with qualitative and quantitative insights, enabling comprehensive analysis that informs strategic decision-making. + Proven track record in developing scalable data solutions across various product lines and user segments, ensuring data-driven strategies align with overarching business objectives. Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off, and much more! Learn more about our comprehensive benefits and well-being offering here. **Splunk is an Equal Opportunity Employer** Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Note: **Base Pay Range** SF Bay Area, Seattle Metro, and New York City Metro Area Base Pay Range: $159,200.00 - 218,900.00 per year California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts Base Pay Range: $143,280.00 - 197,010.00 per year All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area. Base Pay Range: $127,360.00 - 175,120.00 per year Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. **In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.** Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at ************************** .

About Sovrn Every interesting company solves essential problems for other people. Sovrn is a Software and Data business that helps Open Web businesses remain independent. We help them understand their business better, operate more efficiently, and make and keep more money. We believe in the freedom and free flow of information. We believe the Open Web is the largest source of this information. We believe in helping Open Web businesses be and remain Independent. Through Software products and Data solutions, we help our customers: Understand their business better, so they can make better decisions. Operate their business more efficiently, so they can invest in what matters most. Make (and Keep) more money, so they control their own destiny. About the Role The Principal of Data Science will lead and scale data science, driving ad targeting, bidding strategies, and audience-building innovation. The primary focus will be leveraging data to create predictive models and algorithms that enhance ad personalization while maintaining user privacy. This role requires deep machine learning and data analytics expertise to optimize Sovrn's programmatic advertising capabilities. Collaboration with product, engineering, and commercial teams will be essential to ensure data-driven strategies align with business objectives. What you'll be doing: Technical Modeling. Develop and implement predictive models and algorithms to optimize ad targeting and bidding strategies. Leverage machine learning and statistical modeling to build audience segments, ensuring personalized ad experiences. Ensure user privacy remains a top priority while developing advanced personalization techniques. Technical Leadership. Stay informed on emerging trends in machine learning, digital advertising, and data privacy regulations. Contribute to the overall data strategy to drive innovation in the digital media ecosystem. Provide strategic insights and recommendations based on deep ad tech and programmatic data analysis. Collaboration: Collaborate with engineering and product teams to integrate data science models into production systems. Guide and mentor Data Scientists, fostering a culture of innovation and learning within the team. A successful candidate will have: 8+ years of experience in machine learning, statistical modeling, and data analytics, strongly focusing on digital advertising. Experience applying data science in ad tech, programmatic advertising, and the broader digital media ecosystem. Technical proficiency: Proficiency in Python programming Deep learning frameworks (TensorFlow, PyTorch, Keras) Cloud Computing platforms (AWS, GCP) MLOps Frameworks (Kubeflow, MLFlow) Demonstrated experience in developing and deploying machine learning models to solve business problems, particularly in the context of programmatic advertising or digital marketing. Comfort to collaborate with software engineers to understand complex systems and abstracted logs Strong communication and leadership abilities, with a track record of mentoring and developing data science talent. Bachelor's degree in Statistics, Data Science, Mathematics, or a related field. Location: Boulder, Colorado or New York City, New York preferred, but open to remote in states we currently operate in: AZ, CA, CO, NY, GA, MD, MI, MT, NJ, TX, or WA. #Linkedin-Remote We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we're looking for. Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking Compensation and Benefits The base pay range for this position is $190,000 to $215,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate's direct experience, skills, industry knowledge, and location. Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program. Equal Opportunity Employer Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. Reasonable accommodations will be made to meet the requirements of the Americans with Disabilities Act and will be provided as requested by candidates taking part in all aspects of the selection process. Recruitment Agencies Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.

Why work for us? A career at Janus Henderson is more than a job, it's about investing in a brighter future together . Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. Our Values are key to driving our success, and are at the heart of everything we do: Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust If our mission, values, and purpose align with your own, we would love to hear from you! Your opportunity + The Data Scientist will develop and deliver AI and machine learning solutions that improve operational effectiveness, generate investment insights and enhance client servicing + Build and deploy AI applications using RAG framework, including developing data pipelines to source structured and unstructured data, generate vector embeddings, create search index, and build UI using Streamlit + Leverage advanced Machine Learning techniques, including Random Forest, Gradient Boosting, Clustering etc. to develop predictive models to drive customer engagement, retention, asset growth etc. + Use Natural Language Processing techniques to parse large volumes of unstructured data to generate actionable insights for business stakeholders + Develop and maintain complex data pipelines to extract data from on-prem and cloud data warehouses + Partner with all areas of the Enterprise to identify opportunities to leverage data science capabilities and deliver creative solutions + Participate in cross functional programs and projects to deliver business intelligence through data science + Deliver effective, consistent, and streamlined dashboards for leadership to identify key gaps in performance and coach to stronger business outcomes + Develop relationships with business areas, data operations, technology, and risk to oversee the delivery of data-related services to the organization + Support a culture of analytics and using new technologies to support business expansion + Carry out other duties as assigned What to expect when you join our firm + Hybrid working and reasonable accommodations + Generous Holiday policies + Paid volunteer time to step away from your desk and into the community + Support to grow through professional development courses, tuition/qualification reimbursement and more + Maternal/paternal leave benefits and family services + Complimentary subscription to Headspace - the mindfulness app + Corporate membership to ClassPass and other health and well-being benefits + Unique employee events and programs including a 14er challenge + Complimentary beverages, snacks and all employee Happy Hours Must have skills + Masters in Computer Science or Data Science + Minimum 3 years' experience in data science and analytics, preferably in the asset management industry + Expertise in data science that includes behavioral analytics, statistical analyses, machine learning, deep learning and natural language processing + Minimum 3 years' experience developing, implementing and maintaining machine learning models + 1+ year hands-on experience developing Generative AI applications using RAG + Experience optimizing LLM queries using prompt engineering techniques + Have programming skills needed for both the computational aspects of big data as well as working with statistical models (e.g., complex SQL scripts, distributed computing, analysis using Jupyter Notebooks) + Experience programming in Python, R, Java and/or C+ + + Proficient with Business Intelligence (BI) tools (e.g., Tableau, PowerBI) + Experience with cloud computing tools such as Data Bricks (or similar) for AI/ML + Familiarity with cloud data stores; both SQL and no-SQL (Hadoop, Hive, Azure SQL, Cosmos, Snowflake) + Experience analyzing large scale datasets across finance, marketing, distribution, and product data + Experience with model governance processes and building documentation to demonstrate model effectiveness to internal and external regulators + Experience partnering and managing offshore analytics and data science teams Nice to have skills + Self-motivated, driven and solution-oriented mindset, with a proven track record of execution + Proven ability to summarize key information and presenting recommendations to multiple stakeholders to influence senior management and non-technical audiences + Have a demonstrated history of execution excellence and help drive prioritization and negotiation across the user-base to identify and deliver on high impact initiatives + Stay abreast of advances in AI, and data science techniques (e.g., decision trees, linear/ multinomial logistic/ridge regressions, collinearity analysis (VIF), machine learning, string similarity, behavioral analytics, look-a-like models) Supervisory responsibilities + No Potential for growth + Mentoring + Leadership development programs + Regular training + Career development services + Continuing education courses You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role. At Janus Henderson Investors we're committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don't worry if you don't think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can't accommodate every flexible working request we're happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at ****************************. Compensation information The base salary range for this position is $145,000-$150,000. This range is estimated for this role. Actual pay may be different. This role will remain open through May 30, 2025.Colorado law requires an estimated closing date for job postings. Please don't be discouraged from applying if you see this date has passed. #LI-MM1, #LI-Hybrid Annual Bonus Opportunity: Position is eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance. Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career page here (**************************************** . Janus Henderson Investors is an equal opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee's job functions (as determined by Janus Henderson at its sole discretion). You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants' past political contributions or activity may impact applicants' eligibility for this position. You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.

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 (***************************************************************************************************************************

Inspired by our belief that anyone can learn anything and powered by our own curiosity, we build the smartest tools we can imagine to help students learn. Quizlet is the popular, global learning platform and app that millions of students, teachers and everyday people use to study any subject imaginable for school, work or as part of their personal interests -- including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals. Valued at $1 billion, Quizlet has raised over $60 million in venture capital from investors including Icon Ventures, Union Square Ventures, General Atlantic, Costanoa Ventures, Owl Ventures, and Altos Ventures. To serve our global community of learners, our teams tackle lofty technical challenges and design for use cases across cultures and languages. We work hard, act like owners, and collaborate every chance we get. We're energized by the potential to power more learners through multiple approaches and various tools. About the Team: The Data Science, Analytics team at Quizlet is at the forefront of product research. We leverage our rich data set to represent the voice of our students and teachers at scale. Our team outcomes focus on delivering insights that drive product strategy using the data science toolkit. We serve in a pivotal strategic role, identifying as well as driving inquiry on behalf of leaders at the company. The team is supported by Machine Learning and Data Engineering teams that partner with data scientists to make sure we are building a data-driven culture. About the Role: As the Core Product Data Scientist, you will partner closely with the Product, Engineering, Design, and Data Science teams to build amazing products that will drive users to Quizlet. You will bring together insights across our vast user data, enabling you to identify new high-value opportunities, analyze A/B test experiments, recommend data-driven product decisions, define key business metrics, set company wide goals, and present quantitative product research. We're happy to share that this is an onsite position. To help foster team collaboration, we require that employees be in the office at a minimum of three days a week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization. In this role, you will: * Focus on driving business insights through data * Develop analytical frameworks and foundations to enable actions and next steps in the business * Embed within a specific product pod, collaborating with partners in product, engineering, design, and user research to go deep into one part of Quizlet's business * Develop experimentation strategy and support A/B testing through the entire experimentation life cycle, from inception to measurement, analysis, and synthesizing recommendations * Explore, develop, and present insights to the whole company that inform product roadmap and strategy, using one of the world's largest learning science databases * Drive maturity and excellence in the way we measure the success of our business What you bring to the table: * 5+ years of experience in data science at a consumer internet company; or 3+ years of experience with a Masters or PhD * Required to have experience running A/B tests and using statistical techniques for modeling and predicting user behavior * Proven experience working with product teams to drive product strategy and tactics with insights and modeling * Proven experience with creating and owning resilient ETLs and dashboards that power business metrics * Advanced SQL skills, window functions, sub-queries, etc * Strong communication skills: effectively synthesize, visualize, and communicate your ideas to others Bonus points if you have: * Experience with dbt * Experience writing ETL using Airflow * Expertise in Python for data manipulation and analyses * Degree in Math, Physics, Statistics, Economics, Computer Science, or other quantitative fields Compensation, Benefits & Perks: * Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $180,000 - $230,000, depending on location and experience, as well as company stock options * Collaborate with your manager and team to create a healthy work-life balance * 20 vacation days (and we expect you to take them!) * Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, VSP Choice) * Employer-sponsored 401k plan with company match * Access to LinkedIn Learning and other resources to support professional growth * Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits * 40 hours of annual paid time off to participate in volunteer programs of choice We strive to make everyone feel comfortable and welcome! We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting, that gives a comprehensive view of who we are! In Closing: We hope you are excited about everything you read so far. We highly encourage you to apply for this position, even if you feel you do not meet all the requirements. Quizlet is always looking for amazing folks that believe in our mission and can contribute to our team in various ways - not merely candidates that fit a certain mold. We have a bias for action, take initiative, and take pride in delivering results. We make informed decisions whenever possible but are unafraid to take calculated risks on great ideas to promote learning. We embrace challenges and see effort as the path to mastery. We're constantly seeking opportunities to learn and we embrace curiosity. Quality matters at Quizlet, and we hold the bar high on everything we do. We treat each other with honesty and respect, encourage vigorous debate, and seek critical feedback. We value diversity, humility, transparency, and collaboration as the best paths to our success - as individuals, as a team, and as a company. Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. We are actively working to build a team that is representative of the diverse communities we serve, and an open, inclusive work environment where all employees can thrive. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.

Role: Data Scientist Compensation: Consultant: $95,000-130,000 base + variable bonus; Senior Consultant: $120,000 to $150,000 base + variable bonus * Please note: This role is not eligible for 100% remote work. Employees must live within a commutable distance of the Denver Metro Area and must be willing to be onsite at the client and/or Slalom Denver office up to 5 days a week. Who You'll Work With As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds and emerging technologies. Our Denver Data & Analytics practice is looking to add a Data Scientist Consultant to our locally based team. What You'll Do * Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision-making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company) * Collaborate with client data science teams to enhance, scale, and operationalize existing models * Communicate effectively with both technical and non-technical stakeholders * Provide thought leadership on the latest ML/AI technologies and applications to client industry and use cases * Lead and participate in solutioning sessions, working hand-in-hand with businesses/clients, translating business objectives into actionable machine learning/data science use cases What You'll Bring * Production-level experience with core quantitative analysis techniques (e.g., predictive modeling, machine learning, artificial intelligence, or natural language processing) in a consulting environment * Quantitative background with relevant experience using data to solve problems and answer questions * Strong proficiency in Python, R, SQL, and experience with libraries/frameworks such as PyTorch, TensorFlow, and Scikit-learn * Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML * Experience using data visualization tools such as Tableau, Qlik, or Power BI * Knowledge of relational and dimensional database structures, theories, principles, and practices About Us Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 43 markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 11,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at slalom.com. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer additional benefits such as a yearly $350 reimbursement account for any well-being related expenses as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position, the Consultant base salary pay range is $95,000 - $130,000 and the Senior Consultant base salary range is $120,000 to $150,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. Application Deadline: The anticipated application deadline for this role is 4/1/2025 EEO and Accommodations Slalom is an equal-opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

+ AI Overviews leverages cutting-edge language models and integrates them with our core search ranking systems to deliver a new level of search experience. + It goes beyond traditional search results by providing synthesized summaries, along with relevant links to high-quality webpages, helping users quickly grasp key information and dive deeper into areas of interest. + Our team sits within the operational core of the AI Overviews program, partnering with supplier and full time teams to scale high quality data curation (writing and evaluations) for model training. **Responsibilities:** + You'll play a key role in establishing scalable processes for creating and evaluating high-quality training data, directly impacting the quality of AI Overviews. This involves collaborating with engineers, UX designers, and technical writers to define best practices, ensure consistency, and ultimately scale our UX capabilities from a data quality standpoint. + Create and curate "platinum sets" of high-quality training data to refine our language models, enhancing their ability to generate informative and engaging summaries. + Work with Eng, UX and Tech Writers to understand how to scale the development of Platinum sets/quality assessments for data curation. + Maintain consistency and quality across a large scale data curation program: Adhere to established style guidelines and ensure the overall quality and coherence of the generated datasets. + Develop frameworks: for creating platinum/calibration and Golden sets. **Experience:** + 3-5 years of experience with Data Science in Tech or related fields. + Strong communication and interpersonal skills: Ability to effectively collaborate with engineers, UX designers, and technical writers to understand their needs and translate them into data requirements. + Ability to clearly document processes and guidelines: This ensures that data curation practices are well-defined, consistent, and easily understood by others. **Desired Skills:** + Understanding of natural language processing (NLP): Familiarity with basic NLP concepts and techniques can be helpful for understanding how language models work and how data quality impacts their performance. **Education:** + Bachelor's degree in Communications, Journalism, English or related field of study. **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Belvedere Trading is a leading proprietary trading firm eagerly expanding into the heart of Boulder, Colorado. Our traders work hard to provide liquidity to the market using our automated trading systems and have mastered a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. Our trading models and software systems are continually re-engineered, optimized, and maintained to stay on top of the industry. This would not be possible without the dedicated efforts of our technology teams who develop and perfect our innovative technology solutions. High-performance proprietary development is the source of our success and competitive advantage at Belvedere, further fueling our passion for performance. We are a team driven by intellectual curiosity, seeking answers that will change not only how we trade in this technological age, but also the future landscape of the trading industry. We place a high premium on defining, developing, and deploying high-performance trading software using a team-based, holistic development approach. We are looking for passionate team members whose contributions will be critical to our continued success. Belvedere Trading is looking for a Senior Data Engineer to join our team out of either Chicago, Illinois or Boulder, Colorado in a hybrid working model. Our Data Engineers are responsible for data services, including ELT and ETL pipeline implementation, data warehouse architecture, data quality automation, and analytic visualization. We expect a Senior Data Engineer to need minimal guidance on architecture best practices. You will work closely with System Operators, Quant Researchers, and Software Developers to support data-driven decision-making across the organization. As a Senior Data Engineer at Belvedere, you have the opportunity to work on supporting cutting-edge research in financial markets. If you thrive in a fast-paced environment and have a passion for solving complex data challenges, we'd love to hear from you. What You'll Do Design, build, and maintain robust data pipelines and data infrastructure Collaborate with cross-functional teams to define and implement data solutions Develop and optimize ELT and ETL processes to ensure high-quality, accurate, and timely data delivery Work with large datasets to perform data wrangling, cleaning, and transformation tasks Monitor and troubleshoot data systems to ensure their reliability and performance. Ensure data security, quality, and integrity throughout the data lifecycle Stay up to date with industry trends and technologies to continuously improve the team's data capabilities Disseminate best practices for building and querying curated data sets What You'll Need 5+ years of proven experience as a Data Engineer or similar role with a strong background in data engineering Proven expertise with SQL and Python In-depth experience with data warehouses, cloud technologies (preferably GCP), and big data platforms Experience with ELT/ETL tools and data pipeline orchestration (e.g., Dataform, Apache Airflow) Strong understanding of the tradeoffs between different data platforms, including RDBMS, NoSQL, and Time Series Expertise in data modeling and data warehousing Proficiency in crafting high-performance BigQuery queries, optimizing for efficiency and scalability to handle large datasets effectively Excellent verbal and written communication, analytical, and problem-solving skills Nice to HaveExperience with real time messaging systems, such as Kafka, Kinesis, or Pulsar Experience with stream processing frameworks, such as Flink or Spark Experience with real time visualization tools like Plotly Dash and Jupyter notebooks Experience with data governance, data quality frameworks, and monitoring tools Experience in financial markets or trading systems Familiarity with ML models Familiarity with modern data architecture patterns, such as microservices and serverless computing Familiarity with containerization and orchestration tools such as Docker and Kubernetes Certifications in cloud technologies or big data platforms $150,000 - $200,000 a year Additionally, certain positions at Belvedere Trading are eligible for discretionary bonuses. Our employees have access to a variety of benefits, which can be found on our website During onboarding, Senior Data Engineers at Belvedere will participate in a rotational program to expose and train on Belvedere systems. After successfully completing the rotational program, this individual will join the Combine Research Team helping to develop fully automated, black box trading strategies. Core Values The secret to our award-winning culture is our Core Values: Team Belvedere, Me in Team, Own It, Iterative Innovation, and Passionate Discourse. We embody these values every day. Compliance For our trading positions and certain engineering roles, the SIE and Series 57 licenses are required; Belvedere Trading will provide comprehensive study materials and allocate dedicated time during the onboarding process to ensure your success in obtaining these certifications. Our Stance Belvedere is an Equal Opportunity Employer and is committed to providing a non-discriminatory employment environment for its employees. Discrimination against employees and applicants due to race, color, religion, sex, national origin, disability, age, military, and veteran status is prohibited. Belvedere encourages initiatives to increase diversity and provide equal opportunity to all applicants and employees. Belvedere is committed to providing a positive environment in which team members are treated with respect, dignity, and courtesy. Our firm believes in a dynamic culture of inclusion and diversity, where people thrive on individual and organizational characteristics, values, experiences, and backgrounds. Please note that Belvedere Trading does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resumes will become the property of Team Belvedere. No phone calls, please. Through our efforts to provide a safe environment for you and our team members, all interviews for this position will be conducted virtually via phone or video. Through the remainder of the year, we will continue to actively hire and onboard new team members virtually unless otherwise noted. Any questions regarding the virtual recruiting process, please reach out to *******************************.

We are building software which enables businesses to be more economically and environmentally sustainable by digitally transforming the supply chain. As an AI Engineer at VORTO you will define the frontier of logistics optimization, supply prediction, and demand prediction. About the Role Are you ready to join a dynamic software engineering team dedicated to disrupting the status quo? If you're seeking a fulfilling challenge, our Data Scientist AI Engineer role is designed for you! In this entrepreneurial position, you'll be focused on developing innovative solutions for our customers. This role comprises approximately 70% software engineering and 30% data science, utilizing Go, TensorFlow, PostgreSQL, and various Google Cloud Platform tools to create the intelligence that powers our platform. Key Responsibilities: Solve complex problems using mechanistic and statistical approaches. Develop new methods to optimize supply chains. Enhance our logistics simulations and market optimization algorithms. Implement predictive models for commodity demand, supply availability, estimated arrival times, and potential delays. Solve complex problems using mechanistic and statistical approaches. Develop new methods to optimize supply chains. Enhance our logistics simulations and market optimization algorithms. Implement predictive models for commodity demand, supply availability, estimated arrival times, and potential delays. Requirements: 5+ years of experience in a fast-paced environment. Proficiency in deploying AI models for backend server languages like Go. Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch. Strong background in algorithms, optimization, reinforcement learning, and artificial neural networks. Ability to execute tasks independently and solve problems efficiently. Familiarity with function/path optimization and algorithms like linear programming, BOBYQA, A* Search, and simulated annealing. An advanced degree in a quantitative field. Familiarity with function/path optimization and algorithms like linear programming, BOBYQA, A* Search, and simulated annealing. An advanced degree in a quantitative field. Compensation: $120-180k Benefits: At VORTO we are committed to developing our employees and providing them exciting opportunities to grow and prosper in their careers. We encourage you to visit our and read to learn more about our culture. We offer a competitive benefits package as well as numerous additional perks including: Competitive compensation package Health, Dental and Vision Insurance 401k with matching Company paid life and short-term disability insurance Company paid parking or transit pass Relocation offered when applicable Modern office space in downtown Denver Daily coffee, tea, drinks & snacks Team happy hours VORTO is an Equal Opportunity Employer. The Senior AI Engineer position will be posted until a qualified candidate is hired. Disclaimer: This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned.