Data Scientist Jobs in Denver, CO

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. Make this your next career move as one of our many long-term contractors or employees! Work as our full-time employee with full benefits (Medical, Dental, Vision, Life, STD, LTD, PTO, etc.) - OR - work as a W2 hourly contractor at a higher pay rate if you don't need the benefit package. 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

The Data Engineer will play a crucial role in consuming and processing data files being moved from SAP into IBM Sterling. This position requires expertise in data integration, transformation, and management to ensure a seamless transition and optimal performance of our new system. The engineer will assist in the migration of data from SAP and the client's internal Order Management System (OMS) to IBM Sterling, ensuring data integrity and accuracy. They will also manage file staging, recording, and data validation processes, importing validated data into Snowflake for transformation and modeling. REQUIRED SKILLS AND EXPERIENCE - Experience using databricks for data processing and transformation. - Experience using snowflake for data storage and management. - Experience with IBM Sterling or Cognos for data integration and reporting. - Proficiency in XML and JSON for data interchange transformation. Proficiency using python for scripting and automating workflows. NICE TO HAVE SKILLS AND EXPERIENCE - Degree in computer science or related. - Experience working in retail or e-commerce.

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.

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.

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.

Job Title: AI / Data Scientist Engineer About Us: We are at the forefront of innovation, leveraging cutting-edge technologies to transform the way we understand and interact with data. Our team is passionate about pushing the boundaries of what's possible, and we're looking for an equally enthusiastic AI / Data Scientist to join us in this exciting journey. Job Description: We are seeking a highly skilled AI / Data Scientist with a strong focus on Generative AI techniques, including Retrieval-Augmented Generation (RAG), embeddings, vector models, similarity search, and more. This is an exciting opportunity to work on groundbreaking projects that will shape the future of our industry. Key Responsibilities: * Develop and implement advanced AI models and algorithms, with a focus on Generative AI techniques such as RAG, embeddings, vector models, and similarity search. * Leverage pre-trained models to accelerate business goals and enhance existing systems. Conduct similarity searches and enhance retrieval systems to improve data accessibility and usability. * Understand and utilize open-source models, and know how to select the appropriate models for specific tasks. * Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Stay up-to-date with the latest advancements in AI and machine learning, and apply them to solve complex problems. Qualifications: * Master's or Ph.D. in Computer Science, Data Science, AI, or a related field. * Proven experience in developing and deploying AI models, particularly in the areas of RAG, embeddings, vector models, and similarity search. * 3 to 5 years of experience in AI and machine learning. Strong programming skills in Mosaic Framework, Python, TensorFlow, PyTorch, or similar frameworks. * Experience with cloud platforms such as Azure, AWS, Databricks. * Excellent problem-solving abilities and a passion for innovation. Ability to work effectively in a collaborative team environment. Why Join Us: Be part of a dynamic and innovative team that is shaping the future of AI. Work on exciting projects that have a real impact on the industry. Enjoy a collaborative and inclusive work environment. Competitive salary and benefits package. Opportunities for professional growth and development. If you are passionate about AI and eager to make a difference, we would love to hear from you! Compensation/Benefits Information: Accuris states that the anticipated base salary range for this position is $130,000 to $165,000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role. In addition to base compensation, this role is eligible for an annual incentive plan as well as comprehensive benefits. For more information on benefits, please reach out to the recruiter assigned to the role. About Company Statement: Accuris delivers essential intelligence that powers decision making. We provide the world's leading organizations with the right data, connected technologies and expertise they need to move ahead. We think differently, combining the knowledge and resources of an established company with the unapologetic boldness of a startup. ************************ Our mission: build an evolvable knowledge and data platform that enables STEM professionals to unlock and deliver innovation to the world's most complex problems. Accuris provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Other details * Job Family Software Development/Engineering * Job Function Information Technology * Pay Type Salary * Employment Indicator Regular * Min Hiring Rate $130,000.00 * Max Hiring Rate $165,000.00 * Travel Required No * Required Education Bachelor's Degree Apply Now * Colorado, USA * Denver, CO, USA

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.

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. 4. Understand and identify opportunities to more responsibly leverage cutting edge technology. 5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. 6. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. 7. Intellectual curiosity and drive, decisiveness, with ambiguity and complexity. **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 9. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development. 10. Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance. 11. Experience framing and communication skills. **Preferred Qualifications:** Preferred Qualifications: 12. Masters or Ph.D. Degree in a quantitative field. 13. Experience with predictive modeling, machine learning, and experimentation/causal inference methods. **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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 ************************** .

Why Work for Frontier Airlines? At Frontier, we believe the skies should be for everyone. We deliver on this promise through our commitment to Low Fares Done Right. This is more than our tagline - it's our driving philosophy. Every member of Team Frontier has an important role to play in bringing this vision to life. Our successful business model allows travelers to take advantage of our fast-growing route network while our bundled and unbundled pricing options allow our customers to personalize their travel experience and only pay for the services they need - saving them money along the way. What We Stand For Low Fares Done Right is our mission and we strive to bring it to life every day. Our ‘Done Right' promise means delivering not only affordable prices, but making travel friendly and easy for our customers. To do this, we put a great deal of care into every decision and action we take. We must be efficient with the use of our resources and make smart decisions about how we run our business. We must also innovate and be pioneers - we're not afraid to try new things. While our business requires us to fly high in the air, we also consider ourselves down-to-earth in our approach, creating a warm and friendly experience that truly demonstrates Rocky Mountain Hospitality. Work Perks At Frontier, we like to think we're creating something very special for our team members. Work is why we're here, but the perks are nice too: Flight benefits for you and your family to fly on Frontier Airlines. Buddy passes for your friends so they can experience what makes us so great. Discounts throughout the travel industry on hotels, car rentals, cruises and vacation packages. Discounts on cell phone plans, movie tickets, restaurants, luggage and over 2,000 other vendors. Enjoy a ‘Dress for your Day' business casual environment. Flexible work schedules that support work/life balance. Total Rewards program including a competitive base salary, short term incentives, long-term incentives, paid holidays, 401(k) plan, vacation/sick time and medical/dental/vision insurance that begins the 1 st of the month following your hire date. We play our part to make a difference. The HOPE League, Frontier Airlines' non-profit organization, is dedicated to providing employees financial assistance during catastrophic hardship. Who We Are Frontier Airlines is a leading ultra-low cost carrier headquartered in Denver, Colorado. With a mission to deliver Low Fares Done Right, the company provides affordable, convenient and accessible air travel throughout the U.S., Caribbean, Mexico and Latin America. Frontier's highly fuel-efficient, all-Airbus fleet is among the youngest and most modern of any carrier within the U.S. That, combined with the airline's many weight-saving initiatives and focus on operational efficiencies, makes Frontier America's Greenest Airline.* Each Frontier Airlines plane tail features a special animal with a unique name and backstory. Many of the featured species are endangered or threatened, part of the airline's commitment to underscore and raise awareness for their plight. Frontier serves approximately 100 destinations throughout North America and operates 500-plus daily flights, on average. The airline employs more than 7,000 team members and has crew bases in more than a dozen U.S. cities. Frontier Airlines., Inc., is a subsidiary of Frontier Group Holdings, Inc. (NASDAQ: ULCC). * Frontier is the most fuel-efficient of all major U.S. carriers when measured by ASMs per fuel gallon consumed. What Will You Be Doing? The Analyst II, Ancillary Revenue Data Scientist will develop and apply statistical modeling and data science as well as product management techniques to advance Ancillary revenue performance. As an integral part of the Revenue Management team, the Analyst II will own the code development of new analytical products and new models, and will work with internal stakeholders and external partners to achieve rapid evolution in customer-centric, customized offers and business process. You will be joining a data-led and high-profile team; a great way to leverage your experience with data to drive results! Essential Functions Design, execute, and deliver advanced quantitative analyses and multi-feature models to drive decision-making and actions, either by analysts or by systems Leverage big data, capabilities in cloud environments, and multiple sources of data to identify signals and integrate those signals into modeling for explication, prediction, or production Lead in fulfilling other general analytics requirements Perform Exploratory Data Analysis (EDA) to gain insight into customers' shopping behaviors, their response to Frontier's offers, and how to better meet their needs Generate modeling hypotheses using multivariate statistical approaches as well as modern Machine Learning based descriptive approaches Lead the implementation and industrialization of the developed models in the production system, including all phases of the code lifecycle Explicate the results of quantitative analysis and multi-feature models and communicates to stakeholders, including senior management Work primarily in Python, MS SQL, and other big data environments Provide expertise in coding and applied economics across Pricing, Revenue Management, and Ancillary teams Develop and deploy customer-centric analytics, utilizing cluster analysis, collaborative filtering, and randomized elasticity testing Create and maintain code standards, code library, and workflows where industrialized processes are necessary Participate in peer reviews of analytical designs and code to advance revenue optimization Assist, mentor and guide junior team members Assist in the transition to streaming data for several sources Qualifications Bachelor's Degree or higher in Economics, Computer Science, Statistics, Mathematics, or related field required Master's degree in Computer Science, Data Science, Business Analytics, or other analytically focused programs preferred Previous use of MS SQL, Python, and other big data technologies Previous professional use of statistical analysis software preferred Two (2) years of professional data analysis preferred Experience in an airline pricing, yield- or revenue management, revenue analytics, revenue systems, or similar role preferred Knowledge, Skills and Abilities Proven ability to independently perform quantitative analysis and model development Able to apply concepts from economics and pricing management to coding models and analytical products Able to efficiently summarize analytic approaches and products and present insights and actions to upper management Excellent analytical and quantitative skills Excellent written and verbal communications skills Must have good attention to detail for reporting and analysis Ability to work collaboratively with other departments, partners and staff Equipment Operated Standard office computer equipment Work Environment Typical office environment, adequately heated and cooled Physical Effort Generally, not required. Supervision Received General Direction: The incumbent normally receives little instruction on day-to-day work and receives general instructions on new assignments. Positions Supervised None Salary Range $62,000.00 - $86,366.00 PLEASE NOTE : The Salary Range provided is graded at a Analyst II level, this role may be upgraded to Senior Analyst position based on experience. Please note: this posting has a closing date of 4/18/2025, midnight MT. Workplace Policies Disclaimer: The above statements are intended only to describe the general nature and level of work required of the referenced position; they are not intended to be an exhaustive list of all responsibilities, duties, and skills required of individuals in this position. Please be advised that duties and expectations of this position may be subject to change. Frontier Airlines, Inc. is an equal opportunity employer and, as such, is committed to providing equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability status, pregnancy, genetic information, citizenship status or any other basis protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Frontier Airlines is a Zero Tolerance Drug-Free Workplace. All prospective DOT safety-sensitive employees are subject to pre-employment testing for the following drugs and their metabolites: Marijuana, Cocaine, Amphetamines, Opioids and Phencyclidine (PCP). Further, any DOT safety-sensitive job applicant who is found to have tested positive on any required drug or alcohol test at a former employer will be considered ineligible for employment with Frontier. Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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. Nearest Major Market: Denver

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.

About this Role: The Data Engineer at KIPP Colorado Schools is a pivotal role responsible for designing, developing, and maintaining robust data systems that ensure data accessibility, integrity, and security. This position plays a critical role in supporting the district's mission to provide high-quality, equitable education by enabling data-driven decision-making through optimized data pipelines and systems. The Data Engineer ensures that KIPP's data infrastructure is scalable, secure, and efficient, supporting both academic and operational needs. This includes creating and managing data pipelines, enforcing data governance protocols, and ensuring that educators, administrators, and leadership can effectively use data for insights. The Data Engineer collaborates with cross-functional teams, ensuring that data initiatives enhance student achievement, resource optimization, and organizational growth. About KIPP: Together with families and communities, KIPP creates joyful, academically excellent schools that prepare students with the skills and confidence to pursue the paths they choose-college, career, and beyond-so they can lead fulfilling lives and build a more just world. KIPP is a national network of tuition-free, public charter schools open to all students. There are 255 college-preparatory KIPP schools in 20 states and the District of Columbia, serving more than 100,000 students. Nationally, KIPP students are graduating four-year colleges at three times the national average for low-income students. Who we are: KIPP Colorado Public Schools is a network of six free college-preparatory public charter schools open to all students. Our 350-person staff educates 2,600 students from ECE to 12th grade. At KIPP Colorado, we partner with our KIPPsters, educators, families and communities to ensure that we are all united around the goal of a choice-filled future for our KIPPsters. Our KIPP Forward Team supports our 1,000+ high school Alumni as they create their own paths. Our core values of excellence, belonging, belief, advocacy and courage are central to who we are and how we operate at all levels of our organization. What we do: We believe in the unique gifts and brilliance of every student. We believe in setting a high bar for joy and academic excellence to ensure the infinite possibilities our students have before them become a reality. We aspire to create and reinforce a culture of achievement, belonging and support. We know that every student is different and we personalize learning based on a student's needs, skills, and interests. Role Responsibilities and More About How You'll Spend Your Time in this Role Professional Responsibilities Believe deeply in the mission, values, and Race, Inclusion, Diversity, and Equity (RIDE) commitments of KIPP Colorado Schools and that all children can and will learn Assume personal responsibility for student achievement Read, internalize, and adhere to the KIPP Colorado Policies and Procedures manual and guidelines Provide an active presence, strategic supervision, and intentional monitoring to ensure student safety and engagement in rigorous learning (regardless of my role and its proximity to students) Take ownership for the development of your craft (meet 1x/1-2 weeks with a manager, implement feedback, engage in active practice, etc.) Commit to being prepared. Such as: internalizing and preparing for lessons; preparing for O3s/coaching, preparing for meetings, coaching, PD, etc. Meet professional obligations including and not limited to meeting deadlines and honoring schedules Consistently leverage existing professional tools, including but not limited to Google Suite (google documents, etc.) and Microsoft Suite (including but not limited to your KIPP Colorado email, Teams chat / meetings, Teams phone, and Microsoft outlook) Maintain strong attendance each day and be on time to all responsibilities Collaborate with colleagues and seek feedback in the spirit of continuous improvement Reflect on professional practices to meet individual professional development goals Actively participate in professional development, grade level, and department meetings Actively engage and implement in all school-wide and Org wide professional development Serve as a positive, contributing member of a grade team or functional team, collaborating with colleagues to tackle common challenges and implement org and grade-wide initiatives Share candid, solutions-oriented feedback with peers and leadership on a regular basis, assuring that feedback is shared directly with the intended recipient. Ensure that feedback is focused on improving outcomes and experiences for students Assist with both student and staff recruitment and engagement- including events, home visits, calls home, and other determined and related requirements Know that you role, professional development, org wide meetings, etc. may require you to travel around Denver to other KIPP Campuses, our Home Office, or other KIPP or PD events Assist with other duties as assigned (such as but not limited to, lunch duty, arrival/dismissal duty, bathroom duty, school support duties, etc.) Data Pipeline Development and Maintenance Design, develop, and manage scalable ETL (extract, transform, load) pipelines that consolidate data from multiple sources into centralized data systems. Ensure data pipelines are optimized for both real-time and batch processing to support academic and operational decision-making. Maintain integrations between critical platforms, including Learning Management Systems (LMS) and Student Information Systems (SIS). Data Governance and Quality Implement data governance best practices to ensure data accuracy, integrity, and security across all systems. Perform regular data audits and develop processes to detect and correct data inconsistencies or anomalies. Ensure compliance with data privacy regulations such as FERPA, maintaining a secure data environment for all stakeholders. Business Intelligence and Data Analytics Collaborate with the Data Team to build and maintain data models that support the creation of interactive dashboards and reports.

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.

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.

**_What Data Science contributes to Cardinal Health_** The Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. **_Department/Team Overview_** We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas: + Distribution center network design and capacity planning + Facility layout and design; warehouse capacity and utilization + Warehouse process improvement + Labor management and automation + Inventory management: stocking strategies and replenishment policies + Transportation planning: first mile, middle mile, and final mile + Sales and operations planning (resource management in response to demand changes) **_Responsibilities_** As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to: + Listen to clients and ask questions to clearly define business problems. + Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses. + Develop predictive models to forecast future volumes that will drive capacity/resource needs. + Develop customer and product segmentation models and design our supply chain to support differentiated services. + Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance. + Develop prescriptive models using 3rd party optimization/simulation software and custom-build models. + Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered. + Work with Data Engineers to create data models for analyses. **_Qualifications_** + 2-4 years of experience, preferred + Bachelor's degree in a quantitative field, or equivalent work experience, preferred + MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred + Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred + Experience with Structured Query Language (SQL) and working with databases preferred + Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred + Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred + Proven ability to work as part of a team as the key analytical resource + Excellent communication skills with an ability to explain quantitative analysis in simple business terms + Intellectual curiosity, humility, genuine respect and desire to help others + Bias for action and passion for driving change + Ability to travel up to 5% **_What is expected of you and others at this level_** + Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects + May contribute to the development of policies and procedures + Works on complex projects of large scope + Develops technical solutions to a wide range of difficult problems + Solutions are innovative and consistent with organization objectives + Completes work; independently receives general guidance on new projects + Work reviewed for purpose of meeting objectives + May act as a mentor to less experienced colleagues **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:** 4/18/2025 *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. _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 (***************************************************************************************************************************