Senior Data Scientist jobs at Martin's Point Health Care

Thank you for considering a career at Ensemble Health Partners! Ensemble Health Partners is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country. Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference! O.N.E Purpose: Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations. Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation. Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results. The Opportunity: Thank you for considering a career at Ensemble Health Partners! Healthcare impacts each of us, yet the current system remains fundamentally broken. Many of us have seen loved ones face the devastating challenge of unaffordable care. At Ensemble, we are committed to changing this reality by driving down healthcare costs and eliminating obstacles, creating a system that truly puts people first, last, and always. We are dedicated to revolutionizing healthcare with cutting-edge, technology-enabled revenue cycle management solutions for health systems. We're here to solve how to reduce the friction and improve the cost of healthcare for better client and patient outcomes. As a leader in revenue technology, Ensemble is redefining what is possible in healthcare through innovation, purpose and human-centered solutions. We offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country. Why do we do what we do? It's all about our O.N.E Purpose: Our commitment to transforming healthcare goes beyond technology and innovation. It's rooted in a purpose-driven approach that emphasizes customer obsession, embraces new ideas, and strives for excellence-principles that define our O.N.E Purpose and inspire everything we do. Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations. Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation. Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results. The Opportunity: Enabling healthcare professionals with technological solutions is key to the future of healthcare, and at Ensemble, we are solving problems in healthcare with AI. Are you passionate about leveraging AI to solve complex problems in healthcare? Do you want to be part of a team that is transforming the industry with cutting-edge technology? Join Ensemble Health Partners to leverage the superpower of AI to solve some of the most complex problems in healthcare. Why Join Us? People First, Last + Always: At Ensemble, we prioritize people over processes, valuing your contributions, supporting your growth and enabling you to make a difference every day. Make a Difference with Purposeful Work: By leveraging cutting-edge AI technology, you will play a vital part in reducing healthcare costs, revolutionizing care delivery and enhancing the patient experience. Innovate Boldly in a Dynamic Environment: Thrive in a dynamic, entrepreneurial culture within an organization that champions creativity and groundbreaking ideas. Shape the Future of Healthcare Across a Robust Client Base: Drive change across a vast client base, empowering healthcare systems at an unprecedented pace. When you innovate here, the ripple effect is enormous. Technology-Driven Innovation: Since 2021, our patented innovations and EIQ has reshaped healthcare through cutting-edge innovation. Job Summary Take on a pivotal role in addressing healthcare's toughest challenges with advanced AI solutions. As a Senior Data Scientist, you'll build AI and Machine learning models and pipelines, with a focus on generative AI, LLMs and predictive modelling. predictive analytics. Your work will enable hospitals and health systems to operate more efficiently and deliver better patient outcomes. The successful Senior Data Scientist candidate will work closely with business and product owners to understand their data requirements and product specification in order to help them make data-related decisions and product design choices. The role will also require close work with software engineers and developers to deliver solutions. The job role may also require you to learn new tools and technologies fast, which will be well supported by in-depth ML/AI knowledge as well as basic programming and scripting skills. You should have practical experience in the design, development, management, and maintenance of systems and handling of large datasets. You should have hands on experience with common machine learning and AI frameworks, and a good knowledge of AI and machine learning fundamentals (deep learning, regression, classification and clustering algorithms), retrieval augmented generation pipelines, as well as a good grasp of the design and evaluation of LLM-supported use cases. Essential Job Functions Frequent travel may be required Lead AI strategy by delivering solutions that combine software engineering, statistics, and machine learning effectively for complex clinical applications. Execute deep, thoughtful, analytical experiments that utilize the most appropriate techniques and lead to substantial incremental improvements. Deliver excellent reports and presentations to highlight relevant hypothesis and insights that drive decision making within the organization. Identify, collect, transform and explore data to become the resident expert on available data within the organization. Coordinate between Engineers and Product Analysts and the broader organization to facilitate seamless collaboration. Other Preferred Knowledge, Skills and Abilities Ability to travel as needed 3+ years experience working in data scientist capacity. PhD or MSc in Computer Science/Machine Learning/AI, or related work experience with the design, building and evaluation of Machine Learning systems. 3+ years' experience with Machine Learning ecosystem tools, including pytorch/tensorflow, scikit-learn, xgboost or equivalents. Statistical Analysis: Proficiency in statistical techniques and tools. Machine Learning: Knowledge of machine learning algorithms and their applications. Programming: Strong programming skills (e.g., Python, R, or SQL). Data Visualization: Ability to create meaningful visualizations. Ability to design, implement, test and deploy Machine Learning models. Experience working with and evaluating LLM-based pipeline, with an emphasis on retrieval augmented generation and prompting techniques is a plus. Familiarity with langchain/llamaindex/haystack/Azure AI studio, vector databases and retrieval techniques, or equivalent common tools in the emerging LLM-enabled tech stack is a plus. Proficiency in accessing and handling databases via SQL, Azure Data Factory or similar. Alternatively, familiarity with data storage/management systems or Big Data frameworks (like Hadoop, Spark) expected to be known or used. Proficiency in Software Development best practices such as Continuous Integration, Unit/Integration Testing, Code Reviews. Understanding of MLOps fundamentals, including orchestration tools, cloud compute, and observability tools. Knowledge of Revenue Cycle Management, Collections, or financial industries is desirable but not necessary. Ability to work both independently and in a team-based, fast-paced environment. Excellent communication skills, both written and verbal. Desired Work Experience 5 to 7 Years Desired Education Post Graduate Degree or Equivalent Experience CAREER OPPORTUNITY OFFERING: Bonus Incentives Paid Certifications Tuition Reimbursement Comprehensive Benefits Career Advancement This position pays between $83,200 - $159,450 based on experience #LI-MT1 #LI-Remote Join an award-winning company Five-time winner of “Best in KLAS” 2020-2022, 2024-2025 Black Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-2024 22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024 Leader in Everest Group's RCM Operations PEAK Matrix Assessment 2024 Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023 Energage Top Workplaces USA 2022-2024 Fortune Media Best Workplaces in Healthcare 2024 Monster Top Workplace for Remote Work 2024 Great Place to Work certified 2023-2024 Innovation Work-Life Flexibility Leadership Purpose + Values Bottom line, we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include: Associate Benefits - We offer a comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs. Our Culture - Ensemble is a place where associates can do their best work and be their best selves. We put people first, last and always. Our culture is rooted in collaboration, growth, and innovation. Growth - We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement. Recognition - We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company. Ensemble Health Partners is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws. Ensemble Health Partners also prohibits harassment of applicants or employees based on any of these protected categories. Ensemble Health Partners provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. If you require accommodation in the application process, please contact *****************. This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the role's range. EEOC - Know Your Rights FMLA Rights - English La FMLA Español E-Verify Participating Employer (English and Spanish) Know your Rights

On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise. Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We're inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. #LI-JB1 The Role Forward Deployed Data Scientists at Qventus partner with clients to identify their most critical challenges and design data-driven solutions that deliver operational impact. Our customers rely on Qventus' analytics and machine learning capabilities for high-stakes decisions, and projects often begin with open-ended questions like, “How can we predict surgical case overruns?” or “What's the most effective way to improve patient discharge planning?” As a Data Scientist, you'll merge analytical rigor, statistical and ML expertise, and cross-functional collaboration to help organizations transform complex data into actionable insights. You'll work in small, agile teams with a high degree of independence, driving projects from concept to deployed solution. A given day might involve building predictive models, refining LLM-based information retrieval systems, working directly with clinical leaders to interpret results, developing scalable data pipelines, or translating findings into operational strategies. Key Responsibilities Build and refine statistical and machine learning models, including NLP and explainable AI approaches. Develop, tune, and deploy LLM systems, with strong preference for RAG-based solutions. Perform hands-on data engineering: cleaning, transforming, and building pipelines (SQL, Python). Collaborate with cross-functional teams to translate data insights into deployed products. Communicate findings clearly to both technical and non-technical audiences. What We're Looking For 3+ years of applied research in ML or statistical modeling. 2+ years developing and maintaining ML systems in production. 1+ years working with LLM-based applications. Strong coding skills in Python and SQL. Experience designing maintainable, high-quality codebases. Bonus Points Experience mentoring and building collaborative data science teams. Exposure to agent-based generative AI frameworks. Background in healthcare data or hospital operations. Experience with Databricks, AWS, Snowflake, DBT, or similar platforms. Master's degree or equivalent professional experience. Compensation for this role is based on market data and takes into account a variety of factors, including location, skills, qualifications, and prior relevant experience. Salary is just one part of the total rewards package at Qventus. We also offer a range of benefits and perks, including Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, a generous employee referral bonus, and employee stock option awards. Salary Range$150,000-$220,000 USD Qventus values diversity in its workforce and proudly upholds the principles of Equal Opportunity Employment . We welcome all qualified applicants and ensure fair consideration for employment without discrimination based on any legally protected characteristics, including, but not limited to: veteran status, uniformed service member status, race, color, religion, sex, sexual orientation, gender identity, age, pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, "protected characteristics"). Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee, including supervisors and co-workers. Qventus participates in the E-Verify program as required by law and is committed to providing reasonable accommodations to individuals with disabilities in compliance with Americans with Disabilities Act (ADA). In compliance with the California Consumer Privacy Act (CCPA), Qventus provides transparency into how applicant data is processed during the application process. Candidate information will be treated in accordance with our candidate privacy notice. *Benefits and perks are subject to plan documents and may change at the company's discretion. *Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.

Drive the future of HR and workforce analytics in a large, mission-driven healthcare system, designing and delivering advanced, action-oriented data science solutions that truly impact employee engagement, patient outcomes, and financial performance. This role is ideal for a self-driven, visionary data scientist who thrives on creating transformative projects, influencing leaders at all levels, and building not just insights, but actionable change across the organization-leveraging expertise in AI, causal inference, and predictive analytics to fuel rapid, sustainable improvement. **Role Overview** As a People Analytics Data Scientist, you will design and implement scalable, innovative solutions using advanced data science methods-ranging from observational experimentation and causal inference to predictive modeling and cutting-edge agentic AI. Your work will uncover high-confidence relationships between employee experience and business outcomes, then translate those findings into customer-facing solutions that inspire leaders to take action. You will partner with stakeholders across HR, clinical operations, finance, and executive leadership, ensuring actionable insights are embedded directly into decision-making. In addition, you will mentor colleagues, raising the bar for analytics practices across the team. **Key Responsibilities** + Design and lead analytical projects that transform HR data into actionable insights connected to organizational outcomes. + Develop and apply advanced techniques, including causal inference, experimentation, predictive modeling, and AI-driven solutions, to identify factors influencing workforce, clinical and business performance. + Build analytic frameworks that accelerate not only time to insights but time to action-taking. + Apply agentic AI approaches to create decision-support solutions that nudge and inspire leaders to act on insights. + Translate complex concepts into clear narratives for both technical and non-technical stakeholders, influencing leaders at all levels. + Proactively identify opportunities where data can positively shape outcomes across HR, clinical, and financial domains. + Mentor and coach junior analytics team members, fostering stronger technical, strategic, and storytelling capabilities. **Highly Preferred Skills & Qualifications** + Advanced degree (Master's or PhD) in data science, statistics, computer science, economics, or a related quantitative field. + Proven experience leading end-to-end data science projects in HR, healthcare, or related domains. + Deep expertise in observational studies, causal inference, and experimentation (e.g., quasi-experimental designs, A/B testing, natural experiments). + Proficiency in data science tools and languages (Python, R, SQL, cloud-based environments). + Strong understanding of predictive modeling, machine learning, and AI, including emerging approaches such as agentic AI. + Exceptional communication skills with demonstrated ability to influence organizational leaders and inspire adoption of solutions. + Track record of mentoring and building team capability. + Self-starter who thrives in environments with high autonomy and broad impact. **Nice-to-Have Experience** + Experience in healthcare, hospital systems, or regulated industries. + Integration of data-driven insights directly into workflows, digital tools, or decision-support platforms. + Knowledge of workforce strategy, HR analytics, or organizational effectiveness metrics. **What Makes This Role Unique** + Opportunity to pioneer agentic AI and human-centered data science within healthcare HR. + Direct influence on reducing workforce challenges that affect employee and improve patient and business outcomes. + High visibility across leadership, with the ability to transform insights into systemic organizational change. + A mandate to shape strategy, not just analyze data-this role is built for action-oriented impact. **Salary:** The pay range for this position is $47.41/hour ($98,612/year) for those with entry-level qualifications up to $84.42 ($175,593) for those highly experienced. The specific rate will depend upon the successful candidate's specific qualifications and prior experience. **Minimum Qualifications** + EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification + EXPERIENCE - 5 Years of Experience As a health care system committed to improving the health of those we serve, we are asking our employees to model the same behaviours that we promote to our patients. As of January 1, 2012, Baylor Scott & White Health no longer hires individuals who use nicotine products. We are an equal opportunity employer committed to ensuring a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way - it's about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values: We Seek A Better Way: We innovate boldly, learn from our setbacks, and are resilient in our pursuit to transform cancer care We Make It Happen: We act with urgency, commit to quality, and bring fun to our hard work We Are Stronger Together: We collaborate openly, seek to understand, and celebrate our wins We Care Deeply: We embrace our differences, do the right thing, and encourage each other The Position: This is a remote friendly position. On-site cube available in South San Francisco or San Diego. We are seeking a talented and experienced AI/ML data scientist to join our Veracyte's Data Science team. This position offers a unique opportunity to work with experienced professionals to drive research and develop new diagnostic products employing one of the world's largest clinical cancer databases, encompassing multi-platform digital pathology, genomic and clinical outcome data. The successful candidate will develop digital pathology AI models for a wide range of clinical and pathology outcomes by applying and adapting state-of-the-art vision/vision-language foundation models to whole-slide images (WSIs). As a Data Scientist III at Veracyte, the candidate will be expected to assist in developing innovative solutions to complex problems under company's objective. This work will be conducted in close collaboration with other teams, including internal medical and business development teams, as well as key opinion leaders, with whom we collaborate on identifying relevant data, and developing computer vision models. The ability to explain AI/ML concepts to both experts and non-experts, including formal presentation, academic writing, and generation of publication-quality figures will be key necessary talents. The ideal candidate is passionate about data, eager to learn independently, and possesses strong analytical, problem-solving, and storytelling skills. KEY RESPONSIBILITIES: Develop digital pathology AI (DPAI) models with WSI data to predict clinical outcome and pathological/morphologic features, including adapting open-source state-of-the-art AI foundation models to Veracyte's data. Evaluate and analyze DPAI models with respect to clinical, pathological and genomic outcomes or features, with a view to linking explainability of model features to biology. Design and carry experiments to compare and evaluate DPAI methods. Document and explain the results. Collaborate with both internal and external partners to understand the clinical and business requirements for given products and tailor algorithms accordingly. Work with bioinformatician, statistician, and medical experts to document projects, including generating analyses and visualizations for publication in peer-reviewed journals. Who You Are: REQUIRED EXPERIENCE: PhD in Data Science, Machine Learning, Applied Math or equivalent field. 5+ years of experience of data/applied scientist role or equivalent Expert in Python or equivalent language for AI/ML development in the context of computer vision / DPAI (this includes data manipulation and preparation.) Experience in statistical analysis, especially in survival modelling and hypothesis testing (i.e., multivariate regression modelling with interaction effects). Experience working in cloud computing environments (AWS preferred). Demonstrated proficiency in summarizing and communicating findings from data, including an attention to detail when sharing findings. Ability to work effectively in a fast-paced and collaborative environment. Eagerness to learn new technologies and adapt to evolving requirements. RELEVANT EXPERIENCE (preferred but not required): Knowledge of cancer biology Proficiency with documentation and submission in regulated diagnostic environments (LDT or IVD). Experience working with real world clinical data. #LI-Hybrid, or #LI-Remote The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range$130,000-$171,000 USDWhat We Can Offer You Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose. About Veracyte Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit **************** or follow us on LinkedIn or X (Twitter). Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice. If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to ********************

A bit about this role: As a Principal Data Scientist, you will serve as a key partner to Devoted Health's Claims and Payment Integrity (PI) teams, and broader Core Service Operations, leading efforts to improve payment accuracy and drive opportunities that allow us to invest more dollars in our members. You will build and maintain robust data pipelines and shape how Devoted uses data to identify overpayment and underpayment risk, quantify savings opportunities, and design systems that scale accuracy and throughput in both pre-pay and post-pay operations. This high-impact role is essential for Devoted's success, reporting into our Data Science team and working alongside Product Managers, Software Engineers, Business Intelligence Analysts, and Operation Leaders to design scalable, technology-driven solutions. In this role, you will: Leverage domain knowledge of claims data and provider billing behavior to drive meaningful cost savings and improve operational decision-making Define high-impact analytical problems in Claims and PI, collaborating with business leads, product managers, engineers, and technical teammates. Collaborate closely with engineering and business partners to ensure scalable, maintainable data pipelines, and determine our most impactful work to scale our payment accuracy program with new opportunities and technology Scope, communicate, and implement technical solutions collaboratively, delivering value iteratively while independently executing Advise stakeholders on evaluating and implementing internally developed LLM based agents to improve workflows, and perform data extraction to leverage output of those agents in feature stores and analysis. Required skills and experience: Ability to thrive in a fast-paced, high-growth environment 7+ years of individual technical contributor experience Strong background in SQL, with fluency in modern data ecosystems (Snowflake, dbt, Looker, Python) Skilled at collaborating with cross-functional teams and influencing decisions with data-driven insights Comfort with both building scalable, maintainable data pipelines, and doing deep-dive statistical analysis, predictive modeling and/or experimental design to drive business strategies Desired skills and experience: Claims, Payment Integrity, or Medical Economics experience, especially in Medicare Advantage LLM integrated into personal development workflows or to support operations #LI-Remote Salary range: Salary range: $128,057- $187, 083 annually plus eligibility for discretionary performance based bonus paid out annually. Target bonus is 10% however the actual payout is based on the terms of the bonus plan. The total compensation for this role is: $140,862-$205,791 (base plus bonus) The pay range listed for this position is the range the organization reasonably and in good faith expects to pay for this position at the time of the posting. Once the interview process begins, your talent partner will provide additional information on the compensation for the role, along with additional information on our total rewards package. The actual base salary offered will depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. Our Total Rewards package includes: Employer sponsored health, dental and vision plan with low or no premium Generous paid time off $100 monthly mobile or internet stipend Stock options for all employees Bonus eligibility for all roles excluding Director and above; Commission eligibility for Sales roles Parental leave program 401K program And more.... *Our total rewards package is for full time employees only. Intern and Contract positions are not eligible. Healthcare equality is at the center of Devoted's mission to treat our members like family. We are committed to a diverse and vibrant workforce. At Devoted Health, we're on a mission to dramatically improve the health and well-being of older Americans by caring for every person like family. That's why we're gathering smart, diverse, and big-hearted people to create a new kind of all-in-one healthcare company - one that combines compassion, health insurance, clinical care, service, and technology - to deliver a complete and integrated healthcare solution that delivers high quality care that everyone would want for someone they love. Founded in 2017, we've grown fast and now serve members across the United States. And we've just started. So join us on this mission! Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted's Code of Conduct, our company values and the way we do business. As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.

As a Principal Data Scientist, you will be a key partner for Devoted Medical, Devoted's clinical care function, using data to identify members suitable for specific clinical interventions; enable outreach to those members; and evaluate the effectiveness of that care. You will build robust data pipelines that underpin our products and operations, and build and maintain machine learning models related to clinical risk and appropriateness. Your technical expertise and collaborative approach will foster a data-driven culture, driving key outcomes and operational efficiency. This high-impact role is essential for Devoted's success, reporting into our Data Science team and working alongside Product Managers, Software Engineers, Business Intelligence Analysts, and Clinical and Business Leads to solve key challenges for the company. You'll shape the technical and strategic direction for how Devoted identifies and engages members for clinical care, ensuring that our members get the right care, at the right place, at the right time. In this role, you will: Specialize in clinical operations and outcomes data, developing pipelines that enhance the accuracy of metrics that drive our business. Build and maintain machine learning models that provide insights for effective targeting of clinical interventions. Collaborate closely with cross-functional teams to measure the effectiveness of clinical programs and scale significant workflows during a period of rapid organizational growth. Scope, communicate, and implement technical solutions collaboratively, delivering value iteratively while independently executing on agreed-upon plans. Develop in a modern stack using agents and stored prompts to enhance coding efficiency. Advise stakeholders on evaluating internally developed LLM based agents to improve workflows, and perform data extraction to leverage output of those agents in feature stores and analysis. Required skills and experience: Ability to thrive in a fast-paced startup environment 7+ years of individual technical contributor experience Interest and skill in collaborative problem-solving and effective communication Advanced SQL skills Experience with Python or R Background in scoping, building, and maintaining machine learning models Comfort with both building scalable, maintainable data pipelines, and doing deep-dive statistical analysis, predictive modeling and/or experimental design to drive business strategies It would be great if you had background in: Healthcare data and related stakeholders dbt and/or Looker Medicare Advantage Your responsibilities and impact will include: Defining high-impact problems in clinical operations, collaborating with business leads, product managers, engineers, and technical teammates. You'll identify where data can best drive outcomes and use technology to solve problems and scale Devoted Medical's operations. Leveraging knowledge of clinical and operational data to drive informed business decisions. Effectively communicating analysis results and technical concepts, their impact, and their limitations to leaders and teams with varying technical backgrounds. Working with the Devoted Medical team to build out data warehousing infrastructure in Snowflake, enabling our BI partners to create a robust Looker reporting layer and improving Devoted's internal operating platform. Applying analytics techniques (eg. statistics, machine learning, language-based techniques) to improve the speed and accuracy of our processes Leading contributions to a proactive, engaged team with a positive work ethic and a culture of inclusion and collaboration. #LI-TM1 Salary range: $128,057- $187, 083 annually Our ranges are purposefully broad to allow for growth within the role over time. Once the interview process begins, your talent partner will provide additional information on the compensation for the role, along with additional information on our total rewards package. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. Our Total Rewards package includes: Employer sponsored health, dental and vision plan with low or no premium Generous paid time off $100 monthly mobile or internet stipend Stock options for all employees Bonus eligibility for all roles excluding Director and above; Commission eligibility for Sales roles Parental leave program 401K program And more.... *Our total rewards package is for full time employees only. Intern and Contract positions are not eligible. Healthcare equality is at the center of Devoted's mission to treat our members like family. We are committed to a diverse and vibrant workforce. At Devoted Health, we're on a mission to dramatically improve the health and well-being of older Americans by caring for every person like family. That's why we're gathering smart, diverse, and big-hearted people to create a new kind of all-in-one healthcare company - one that combines compassion, health insurance, clinical care, service, and technology - to deliver a complete and integrated healthcare solution that delivers high quality care that everyone would want for someone they love. Founded in 2017, we've grown fast and now serve members across the United States. And we've just started. So join us on this mission! Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted's Code of Conduct, our company values and the way we do business. As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way - it's about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values: We Seek A Better Way: We innovate boldly, learn from our setbacks, and are resilient in our pursuit to transform cancer care We Make It Happen: We act with urgency, commit to quality, and bring fun to our hard work We Are Stronger Together: We collaborate openly, seek to understand, and celebrate our wins We Care Deeply: We embrace our differences, do the right thing, and encourage each other The Position: This is a remote friendly position. On-site cube available in South San Francisco or San Diego. We are seeking a talented and experienced data scientist to join our Data Analysis Team (DAT), as part of the R&D group for Veracyte Inc. This position offers a unique opportunity to work with experienced professionals to carry out AI/ML modelling and analysis of the world's largest database of cancer patients, encompassing multi-platform digital pathology, genomic and clinical outcome data. The primary objective of this role is to analysis millions of records of real-world insurance claims and EHR data to define clinical treatments and outcomes. The successful candidate needs to be proficient in state-of-art data extraction, transformation and loading (ETL), and statistical analysis to convert data into meaningful insights and stories. The candidate will also need to communicate and understand business needs, identify relevant data, process and analyze data accordingly. Experience of academic writing and prepare data/figures for manuscript are necessary for success in this position. The candidate should also be able to design graphics to explain AI models with known clinical or genomic features. Strong track record of publishing in both clinical and technical peer-review journals or conferences is highly desired. The ideal candidate is passionate about data, eager to learn independently, and possesses strong analytical, problem-solving, and storytelling skills. KEY RESPONSIBILITIES: Assist in analyzing real-world data to identify patterns for various clinical and business cases, including treatment patterns and management costs. Participate in Identifying key clinical events, such as cancer progression and treatments, using CPT, NDC, ICD codes, and structured database free text. Assist in conducting statistical analysis and survival modelling for the clinical events defined from real-world data. Ability to visualize finding from the data and summarize them in a coherent story. Support data scientists in developing digital pathology AI models Work with bioinformatician, statistician, and medical experts in manuscripts. Who You Are: REQUIRED EXPERIENCE: PhD in Statistics, Data Science, or equivalent field. 3+ years of experience of data/applied scientist role or equivalent. Experience in working with real-world data of insurance claims and EHR records Proficient in SQL and R. Strong skills with data clean-up, manipulation and visualization using tidyverse, ggplot in R or equivalent. Proficient in statistical analysis, especially in survival modelling and hypothesis testing (i.e., multivariate regression modelling with interaction effects). Experience working in cloud computing environments (AWS preferred). Demonstrated proficiency in summarizing and communicating findings from data, including an attention to detail when sharing findings. Ability to work effectively in a fast-paced and collaborative environment. Eagerness to learn new technologies and adapt to evolving requirements. RELEVANT EXPERIENCE (preferred but not required): Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) is desirable. Knowledge of basic bioinformatics, genomics, and cancer biology Past research experience in urological oncology, bioinformatics, digital pathology, or relevant fields Research experience with developing AI models such as LLM, vision/time series foundation models. #LI-Hybrid, or #LI-Remote The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range$101,000-$140,000 USDWhat We Can Offer You Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose. About Veracyte Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit **************** or follow us on LinkedIn or X (Twitter). Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice. If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to ********************

Drive the future of HR and workforce analytics in a large, mission-driven healthcare system, designing and delivering advanced, action-oriented data science solutions that truly impact employee engagement, patient outcomes, and financial performance. This role is ideal for a self-driven, visionary data scientist who thrives on creating transformative projects, influencing leaders at all levels, and building not just insights, but actionable change across the organization-leveraging expertise in AI, causal inference, and predictive analytics to fuel rapid, sustainable improvement. **Role Overview** As a People Analytics Data Scientist, you will design and implement scalable, innovative solutions using advanced data science methods-ranging from observational experimentation and causal inference to predictive modeling and cutting-edge agentic AI. Your work will uncover high-confidence relationships between employee experience and business outcomes, then translate those findings into customer-facing solutions that inspire leaders to take action. You will partner with stakeholders across HR, clinical operations, finance, and executive leadership, ensuring actionable insights are embedded directly into decision-making. In addition, you will mentor colleagues, raising the bar for analytics practices across the team. **Key Responsibilities** + Design and lead analytical projects that transform HR data into actionable insights connected to organizational outcomes. + Develop and apply advanced techniques, including causal inference, experimentation, predictive modeling, and AI-driven solutions, to identify factors influencing workforce, clinical and business performance. + Build analytic frameworks that accelerate not only time to insights but time to action-taking. + Apply agentic AI approaches to create decision-support solutions that nudge and inspire leaders to act on insights. + Translate complex concepts into clear narratives for both technical and non-technical stakeholders, influencing leaders at all levels. + Proactively identify opportunities where data can positively shape outcomes across HR, clinical, and financial domains. + Mentor and coach junior analytics team members, fostering stronger technical, strategic, and storytelling capabilities. **Highly Preferred Skills & Qualifications** + Advanced degree (Master's or PhD) in data science, statistics, computer science, economics, or a related quantitative field. + Proven experience leading end-to-end data science projects in HR, healthcare, or related domains. + Deep expertise in observational studies, causal inference, and experimentation (e.g., quasi-experimental designs, A/B testing, natural experiments). + Proficiency in data science tools and languages (Python, R, SQL, cloud-based environments). + Strong understanding of predictive modeling, machine learning, and AI, including emerging approaches such as agentic AI. + Exceptional communication skills with demonstrated ability to influence organizational leaders and inspire adoption of solutions. + Track record of mentoring and building team capability. + Self-starter who thrives in environments with high autonomy and broad impact. **Nice-to-Have Experience** + Experience in healthcare, hospital systems, or regulated industries. + Integration of data-driven insights directly into workflows, digital tools, or decision-support platforms. + Knowledge of workforce strategy, HR analytics, or organizational effectiveness metrics. **What Makes This Role Unique** + Opportunity to pioneer agentic AI and human-centered data science within healthcare HR. + Direct influence on reducing workforce challenges that affect employee and improve patient and business outcomes. + High visibility across leadership, with the ability to transform insights into systemic organizational change. + A mandate to shape strategy, not just analyze data-this role is built for action-oriented impact. **Salary:** The pay range for this position is $47.41/hour ($98,612/year) for those with entry-level qualifications up to $84.42 ($175,593) for those highly experienced. The specific rate will depend upon the successful candidate's specific qualifications and prior experience. **Minimum Qualifications** + EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification + EXPERIENCE - 5 Years of Experience As a health care system committed to improving the health of those we serve, we are asking our employees to model the same behaviours that we promote to our patients. As of January 1, 2012, Baylor Scott & White Health no longer hires individuals who use nicotine products. We are an equal opportunity employer committed to ensuring a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Data Scientist We are seeking a skilled and innovative Data Scientist to join our dynamic team. The ideal candidate will be responsible for transforming complex datasets into actionable insights, leveraging advanced statistical techniques, machine learning models, and data visualization tools. You will collaborate closely with cross-functional teams to support data-driven decision-making and contribute to impactful business outcomes. They must possess knowledge of Python, and machine learning frameworks. Responsibilities • Analyze large and complex datasets to identify patterns, trends, and insights. Develop, test, and implement machine learning models for predictive analytics. • Develop and implement generative AI models, including LLMs, text-to-image and generative AI models. • Partner with data engineering teams to define data requirements and ensure data pipelines are optimized for analysis. • Conduct hypothesis testing, A/B testing, regression analysis, and other statistical methods to validate business assumptions. • Collaborate with engineering teams to deploy machine learning models into production and ensure model performance meets business needs. • Collaborate with other engineers, stakeholders and team members to develop innovative solutions. • Create compelling visualizations and dashboards using tools like Tableau, Power BI, or similar to present insights to both technical and non-technical audiences. • Ability to quickly identify opportunities for model improvement Requirements • Bachelor's or master's degree in computer science, Engineering, or a related field. • 5+ years of experience in developing and training AI/ML models. • Experience with data querying languages like SQL, scripting languages like Python, and/or statistical/mathematical software e.g. R • Knowledge of machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn. • Knowledge of state-of-the-art generative AI models such as GPT, LLaMA, Gemini and DALL-E. • Experience with Cloud infrastructure and Platforms - Azure /GCP/AWS • Experience with data visualization tools like Tableau, Power BI, or similar. • Strong understanding of deep learning, natural language processing, and computer vision. Preferred Qualifications: • Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or other Science related discipline with course work in AI/ML. • Experience with version control systems like Git. • Familiarity with cloud-based ML model deployment (e.g., Azure ML, AWS SageMaker).

Greetings Everyone Who are we? For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check ***************************** What will you do? What are we looking for? About the Role: We are seeking a highly motivated and experienced Data Scientist/Analyst with a strong background in the Retail CPG industry to join our dynamic data team. In this role, you will be instrumental in transforming raw data into actionable insights, driving strategic decisions, and leveraging cutting-edge Agentic frameworks to automate and enhance data-driven processes. You will play a critical role in optimizing our supply chain, marketing strategies, and customer experience. Responsibilities: Data Cleansing and Preparation: Develop and implement robust data cleansing and preprocessing pipelines to ensure data quality and consistency. Extract, transform, and load (ETL) data from various sources, including POS systems, inventory management systems, and customer databases. Identify and resolve data anomalies, inconsistencies, and missing values. Create and maintain comprehensive data documentation. Retail CPG Analysis: Conduct in-depth analysis of sales, inventory, and customer data to identify trends, patterns, and opportunities. Develop and implement predictive models for demand forecasting, inventory optimization, and customer segmentation. Analyze the impact of marketing campaigns and promotional activities on sales and customer behavior. Generate actionable insights and recommendations to optimize business performance. Agentic Frameworks: Research, evaluate, and implement Agentic frameworks to automate data analysis and decision-making processes. Develop and deploy intelligent agents for tasks such as data extraction, anomaly detection, and report generation. Integrate Agentic frameworks with existing data pipelines and analytical tools. Explore and experiment with emerging AI technologies to enhance data-driven capabilities. Collaboration and Communication: Collaborate with cross-functional teams, including sales, marketing, and supply chain, to understand business requirements and deliver data-driven solutions. Communicate complex data insights to stakeholders in a clear and concise manner. Present data findings and recommendations through visualizations and reports. Requirements: Bachelor's or master's degree in data science, Statistics, Computer Science, or a related field. Strong proficiency in SQL and Python (Pandas, NumPy, Scikit-learn). Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling and machine learning techniques. Proven ability to clean, process, and analyze large datasets. Experience with ETL processes and data warehousing. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Preferred Qualifications: Experience with Agentic frameworks (e.g., Auto-GPT, LangChain, etc.). Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. Experience with time series analysis and forecasting. Knowledge of supply chain management and inventory optimization. Experience with customer segmentation and lifetime value analysis. Knowledge of natural language processing (NLP) and text analysis. Experience with LLMs. Experience with Retail POS data. Compensation, Benefits and Duration Minimum Compensation: USD 48,000 Maximum Compensation: USD 168,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is available for independent contractors No applications will be considered if received more than 120 days after the date of this post

Drive the future of HR and workforce analytics in a large, mission-driven healthcare system, designing and delivering advanced, action-oriented data science solutions that truly impact employee engagement, patient outcomes, and financial performance. This role is ideal for a self-driven, visionary data scientist who thrives on creating transformative projects, influencing leaders at all levels, and building not just insights, but actionable change across the organization-leveraging expertise in AI, causal inference, and predictive analytics to fuel rapid, sustainable improvement. **Role Overview** As a People Analytics Data Scientist, you will design and implement scalable, innovative solutions using advanced data science methods-ranging from observational experimentation and causal inference to predictive modeling and cutting-edge agentic AI. Your work will uncover high-confidence relationships between employee experience and business outcomes, then translate those findings into customer-facing solutions that inspire leaders to take action. You will partner with stakeholders across HR, clinical operations, finance, and executive leadership, ensuring actionable insights are embedded directly into decision-making. In addition, you will mentor colleagues, raising the bar for analytics practices across the team. **Key Responsibilities** + Design and lead analytical projects that transform HR data into actionable insights connected to organizational outcomes. + Develop and apply advanced techniques, including causal inference, experimentation, predictive modeling, and AI-driven solutions, to identify factors influencing workforce, clinical and business performance. + Build analytic frameworks that accelerate not only time to insights but time to action-taking. + Apply agentic AI approaches to create decision-support solutions that nudge and inspire leaders to act on insights. + Translate complex concepts into clear narratives for both technical and non-technical stakeholders, influencing leaders at all levels. + Proactively identify opportunities where data can positively shape outcomes across HR, clinical, and financial domains. + Mentor and coach junior analytics team members, fostering stronger technical, strategic, and storytelling capabilities. **Highly Preferred Skills & Qualifications** + Advanced degree (Master's or PhD) in data science, statistics, computer science, economics, or a related quantitative field. + Proven experience leading end-to-end data science projects in HR, healthcare, or related domains. + Deep expertise in observational studies, causal inference, and experimentation (e.g., quasi-experimental designs, A/B testing, natural experiments). + Proficiency in data science tools and languages (Python, R, SQL, cloud-based environments). + Strong understanding of predictive modeling, machine learning, and AI, including emerging approaches such as agentic AI. + Exceptional communication skills with demonstrated ability to influence organizational leaders and inspire adoption of solutions. + Track record of mentoring and building team capability. + Self-starter who thrives in environments with high autonomy and broad impact. **Nice-to-Have Experience** + Experience in healthcare, hospital systems, or regulated industries. + Integration of data-driven insights directly into workflows, digital tools, or decision-support platforms. + Knowledge of workforce strategy, HR analytics, or organizational effectiveness metrics. **What Makes This Role Unique** + Opportunity to pioneer agentic AI and human-centered data science within healthcare HR. + Direct influence on reducing workforce challenges that affect employee and improve patient and business outcomes. + High visibility across leadership, with the ability to transform insights into systemic organizational change. + A mandate to shape strategy, not just analyze data-this role is built for action-oriented impact. **Salary:** The pay range for this position is $47.41/hour ($98,612/year) for those with entry-level qualifications up to $84.42 ($175,593) for those highly experienced. The specific rate will depend upon the successful candidate's specific qualifications and prior experience. **Minimum Qualifications** + EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification + EXPERIENCE - 5 Years of Experience As a health care system committed to improving the health of those we serve, we are asking our employees to model the same behaviours that we promote to our patients. As of January 1, 2012, Baylor Scott & White Health no longer hires individuals who use nicotine products. We are an equal opportunity employer committed to ensuring a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

If you are a committed, creative professional and are passionate about making a lasting difference for children, the world's leading children's rights organization would like to hear from you. For 70 years, UNICEF has been working on the ground in 190 countries and territories to promote children's survival, protection and development. The world's largest provider of vaccines fordeveloping countries, UNICEF supports child health and nutrition, good water and sanitation, quality basic education for all boys and girls, and the protection of children from violence, exploitation, and AIDS. UNICEF is funded entirely by the voluntary contributions of individuals, businesses, foundations and governments. UNICEF has over 12,000 staff in more than 145 countries Consultancy Title: Data Scientist Consultancy Division/Duty Station: Health and HIV Unit/Data & Analytics/DAMP Duration: November 1, 2025 - October 30, 2026 Home/ Office Based: Remote BACKGROUND Purpose of Activity/ Assignment: UNICEF's Data and Analytics team for Maternal, Newborn, Child, and Adolescent Health (MNCAH) plays a central role in strengthening global accountability and supporting countries to use data for better health outcomes. The team leads the development of global results frameworks, maintains the UNICEF MNCAH Global Database, and provides direct technical support to countries to improve data quality, analysis, and use. A core pillar of this work is the Actionable Health Analytics for Decision-making (AHEAD) initiative, which aims to improve how routine health data is used across all levels of the health system. Through rapid-cycle analytics and tailored tools, AHEAD helps countries generate timely, subnational insights to guide policy and programming. It also supports improvements in data systems, coordination mechanisms, and country capacity for data-driven decision-making. The Data Scientist Consultant will work with UNICEF to develop analytics pipelines and products that will support countries in achieving their maternal, neonatal, child, and adolescent health goals. This role will be embedded within the MNCAH Data and Analytics team and will work closely with regional and country teams. The consultant will help close the gap between data and action, supporting more agile, accountable, and equitable health systems. To support this growing portfolio, UNICEF is seeking support to: Strengthen global data infrastructure, analytics tools, and documentation of best practices Provide technical support to country offices and ministries of health to access, clean, and analyze routine data Finalize and scale country-specific data pipelines, dashboards, and analytics products This role will be embedded within the MNCAH Data and Analytics team and will work closely with regional and country teams. The consultant will help close the gap between data and action, supporting more agile, accountable, and equitable health systems. Scope of Work: Under the supervision of the Statistics and Monitoring Adviser (MNCAH) and in close collaboration with UNICEF headquarters, regional offices, and country teams, the consultant will support the continued development and scale-up of data systems and analytics under UNICEF's AHEAD (Actionable Health Analytics for Local Decision-making) initiative and the broader MNCAH data portfolio. This role will contribute to strengthening country capacity to generate and use timely, high-quality data for decision-making, particularly to monitor and improve primary healthcare performance. The work will bridge advanced data methods with practical, country-facing tools that support public health planning and accountability. 1. Country Support and Operationalization Collaborate with country offices and ministries of health to access, clean, and analyze RHIS and administrative data, with a focus on supporting PHC and MNCAH planning. Customize country-specific analytics pipelines and visualizations to meet national and subnational decision-making needs. Contribute to country workshops, data interpretation sessions, and the preparation of evidence-based briefs and action plans. Translate analytics into real-world public health use cases (e.g., district performance tracking, service bottleneck identification, facility readiness monitoring). 2. Pipeline Development and Automation Design and maintain automated, scalable data pipelines to ingest, transform, and standardize data from diverse sources, including DHIS2, MICS, WorldPop, and administrative datasets. Operationalize core analytics functions, including coverage estimation, indicator computation, geospatial integration, and data quality checks. Build and modularize pipeline components to ensure reusability across countries and alignment with rapid-cycle analytics needs. 3. Visualization and User-Centered Outputs Develop tailored outputs-such as dashboards, slide decks, and summaries-for use in country reviews, planning meetings, and supervision visits. Optimize visualization workflows for reproducibility, speed, and modularity, with a focus on administrative levels, health facilities, and thematic indicators. Design simple user interfaces (e.g., using Streamlit or Shiny) to allow non-technical users to run core analytics and generate outputs independently. 4. Global Infrastructure and Data Governance Support maintenance and expansion of the MNCAH Global Database and related data infrastructure, including automation and optimization of regular data refreshes. Implement metadata tracking, version control, audit trails, and internal monitoring tools for datasets, scripts, and outputs. Ensure data integrity and harmonization across indicators, geographies, and time periods 5. AI-Supported Analytics and Automation Develop a technology suite that takes outputs and figures from R scripts and makes them accessible to large language models (LLMs) for natural language querying Contribute to the integration of large language models (LLMs) and other AI tools into the AHEAD analytics package to streamline slide generation, narrative development, and structured summaries. Support the refinement of prompting, caching, and logic to ensure outputs are context-appropriate, locally relevant, and cost-effective. Collaborate with the fractional AI engineering team to embed verified data and local interpretation into country-specific products. 6. Reproducibility, Documentation, and Capacity Strengthening Ensure that all workflows are version-controlled, reproducible, and documented with clear metadata and standardized formats. Produce internal manuals and guides to support ongoing maintenance and scale-up of AHEAD tools. Conduct regular handover sessions and contribute to technical briefings, proposal development, and team onboarding materials to build institutional capacity and sustainability Terms of Reference / Key Deliverables: Work Assignment Overview/Outputs as per TOR/Deliverable/ Delivery deadline 1. Pipeline Development and Automation - Non-facility data is integrated into the database and reliably available for analysis. Integrated database with non facility data 30 Nov 2025 - New data sources can be onboarded quickly via scalable modules At least 5 new data sources onboarded 31 Dec 2025 - Geospatial layers are incorporated into the database, enabling population-based analysis Database incorporated with geospatial data 31 Jan 2026 - Coverage metrics are produced faster and more robustly using optimized numerator/denominator pulls Coverage metrics using optimized numerator /denominator pulls 28 Feb 2026 - Emerging datasets (HIV, climate, HR, conflict) are added as needed to keep analyses current and comprehensive HIV, climate, HR, conflict Integrated datasets added 31 Mar 2026 - Data quality issues are automatically detected and surfaced, with transparent review of imputations and outliers A system in place for automatic detection of data quality and imputations 30 Apr 2026 2. AI-Supported Analytics and Automation (Technology Suite for LLMs) - The AI prompting backend moved to Python stack, improving reliability and maintainability Python based AI prompting backend 31 May 2026 - Prompting performance is optimized (caching/parallelization), reducing cost and latency at scale Optimized prompting performance 30 Jun 2026 3. Visualization and User-Centered Outputs - Analysis outputs across different admin, facility, and grid levels are reproducible, fault-tolerant, and measurably faster Reproducible analysis outputs at different levels 31 Jul 2026 - Visualizations are consistent and reusable, accelerating analyst turnaround Reusable visualizations in PowerPoint format 30 Aug 2026 4. Reproducibility, Documentation, and Capacity Strengthening - ETL, AI query, and output generation status is monitored with timely alerts to prevent delivery delays Timely alerts set up for monitoring 30 Sept 2026 - Versioned documentation provides auditable methods, data models, and prompting standards as they evolve A report with full documentation of different versions 31 Oct 2026 Qualifications Education: A bachelor's degree in Data Science, Statistics, Computer Science, Epidemiology, Public Health, Engineering, Health Informatics, or a related quantitative field. Additional certifications or training in data engineering, data visualization, or advanced statistical methods using R is an asset. Knowledge/Expertise/Skills required *: Professional Experience: A minimum of 5 years of progressively responsible professional experience in data science, data engineering, or health data analytics especially MNCAH data, with proven experience applying advanced data techniques to public health or development contexts. Demonstrated experience in: Designing and maintaining reproducible data pipelines and automated reporting tools using R. Handling large, complex datasets, particularly routine health information system (RHIS) data (e.g., DHIS2), administrative datasets, or survey data (e.g., DHS, MICS). Developing statistical models and conducting data quality assessments (e.g., imputation, outlier detection, validation). Building interactive dashboards and data visualizations using R or Python packages. Supporting version control workflows using GitHub, GitLab, or other collaborative platforms. Experience supporting decision-makers in the use of data for decision-making, particularly in low- and middle-income countries. Excellent written and oral communication of technical content in English. Proficiency in another UN language is highly desirable. Familiarity with global health indicator frameworks, especially those related to maternal health, newborn health, child health, primary health care, and health systems performance. Additional Desirable Experience: Experience working with cloud-based database systems (e.g., Azure Postgres, AWS RDS) and building ETL pipelines that integrate geospatial and facility-level data. Understanding of data governance, privacy, and ethical use of health data. Proven ability to work in a multicultural, interdisciplinary team and coordinate across HQ, regional, and country levels. Prior experience contributing to capacity-building efforts through trainings, documentation, or mentoring is a strong asset. The application to be submitted through the online portal should contain three separate attachments: A Cover letter explaining the motivation for applying and explaining how the qualifications and skillset of the candidate Curriculum Vitae (CV) A financial proposal indicating professional fee as per the above template. Please do not forget to specify your name in the file while saving. (To be uploaded under other supporting documents). Requirements: Completed profile in UNICEF's e-Recruitment system and - Upload copy of academic credentials - Financial proposal that will include/ reflect : the costs per each deliverable and the total lump-sum for the whole assignment (in US$) to undertake the terms of reference. travel costs and daily subsistence allowance, if internationally recruited or travel is required as per TOR. Any other estimated costs: visa, health insurance, and living costs as applicable. Indicate your availability - Any emergent / unforeseen duty travel and related expenses will be covered by UNICEF. - At the time the contract is awarded, the selected candidate must have in place current health insurance coverage. - Payment of professional fees will be based on submission of agreed satisfactory deliverables. UNICEF reserves the right to withhold payment in case the deliverables submitted are not up to the required standard or in case of delays in submitting the deliverables on the part of the consultant. U.S. Visa information: With the exception of the US Citizens, G4 Visa and Green Card holders, should the selected candidate and his/her household members reside in the United States under a different visa, the consultant and his/her household members are required to change their visa status to G4, and the consultant's household members (spouse) will require an Employment Authorization Card (EAD) to be able to work, even if he/she was authorized to work under the visa held prior to switching to G4. Only shortlisted candidates will be contacted and advance to the next stage of the selection process For every Child, you demonstrate… UNICEF's core values of Commitment, Diversity and Integrity and core competencies in Communication, Working with People and Drive for Results. View our competency framework at: Here UNICEF offers reasonable accommodation for consultants/individual contractors with disabilities. This may include, for example, accessible software, travel assistance for missions or personal attendants. We encourage you to disclose your disability during your application in case you need reasonable accommodation during the selection process and afterwards in your assignment. UNICEF has a zero-tolerance policy on conduct that is incompatible with the aims and objectives of the United Nations and UNICEF, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination. UNICEF also adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo rigorous reference and background checks. Background checks will include the verification of academic credential(s) and employment history. Selected candidates may be required to provide additional information to conduct a background check. Remarks: Individuals engaged under a consultancy will not be considered “staff members” under the Staff Regulations and Rules of the United Nations and UNICEF's policies and procedures and will not be entitled to benefits provided therein (such as leave entitlements and medical insurance coverage). Their conditions of service will be governed by their contract and the General Conditions of Contracts for the Services of Consultants. Consultants are responsible for determining their tax liabilities and for the payment of any taxes and/or duties, in accordance with local or other applicable laws. The selected candidate is solely responsible to ensure that the visa (applicable) and health insurance required to perform the duties of the contract are valid for the entire period of the contract. Selected candidates are subject to confirmation of fully-vaccinated status against SARS-CoV-2 (Covid-19) with a World Health Organization (WHO)-endorsed vaccine, which must be met prior to taking up the assignment. It does not apply to consultants who will work remotely and are not expected to work on or visit UNICEF premises, programme delivery locations or directly interact with communities UNICEF works with, nor to travel to perform functions for UNICEF for the duration of their consultancy contracts.

If you are wondering what makes TRIMEDX different, it's that all of our associates share in a common purpose of serving clients, patients, communities, and each other with equal measures of care and performance. Everyone is focused on serving the customer and we do that by collaborating and supporting each other Associates look forward to coming to work each day Every associate matters and makes a difference It is truly a culture like no other - We hope you will join our team! Find out more about our company and culture here. TRIMEDX is an industry-leading, independent clinical asset management company delivering comprehensive clinical engineering services, clinical asset informatics, and medical device cybersecurity solutions to many of the largest health systems in the US. We help healthcare providers transform their clinical assets into strategic tools, driving reductions in operational expenses, optimizing clinical asset capital purchasing decisions and usage, improving caregiver satisfaction and productivity, maximizing resources for patient care, and delivering improved patient safety & protection. TRIMEDX was built by providers, for providers, and leverages a history of expert clinical engineering with data on 90-95% of in-use medical equipment in the United States and an industry-leading data set of more than 6 million medical device records. A recent study by Fortune states that global healthcare asset management market is estimated to be $215B by 2032 with a CAGR of 25.3%. The United States is the largest single market for medical devices and accounts for about 40 percent of worldwide sales (BMI Research 2015). We are looking for the Chief Data Scientist who can accelerate our growth as a thought leader in Data Science, Research, and application of models to solve complex business problems. This person will lead the Company's efforts to create a data science practice dedicated to harnessing this proprietary data set to support commercialization of novel new market solutions to enable providers to make informed decisions regarding their clinical asset investments and utilization. This role will be one of the most prominent voices in the global medical device industry. As the Chief Data Scientist, you will be responsible for leading TRIMEDX data and AI architecture and design to help our customers increase their clinical asset utilization and reduce cost to operate. You will design our enterprise-wide AI and Machine Learning initiatives. This new role will be instrumental in shaping and implementing our AI roadmap, driving innovation through advanced data modeling, and applying automation to optimize operations across diverse data ecosystems. It involves orchestrating Agentic AI across multiple SaaS infrastructures, including, but not limited to, Snowflake, Azure, ServiceNow, and Looker. In this role, you will work with senior executives and customers to arrive at solutions that significantly lift their business and accelerate the growth. Key Responsibilities You are a strategic leader that has defined enterprise AI/ML platforms with a strong focus on LLMs, generative AI, and predictive modeling. You will implement model-driven features from initial concept to production, covering all stages including model creation, evaluation, performance metrics, A/B testing, drift monitoring and self-correction with feedback loops. You will coach and train talented engineers in their career growth and set an example for data and AI organization. Your experience is building pricing models, forecasting, smart work assignment are preferred. You stay at the forefront of AI/ML research and emerging technologies; evaluate and integrate cutting-edge tools and frameworks. You will foster a culture of experimentation and continuous learning within the data science team. You will create high levels of engagement across teams in partnership with other key leaders within broader teams. Skills and Experience • Minimum of 12 years of experience in computer science, data science, Statistics or related field. Experience preference in machine learning, data analytics or related disciplines with a focus on algorithmic product development. • Deep expertise in statistics, econometrics, predictive analytics, and related disciplines. • Working experience with modeling tools and languages such as Python, PyTorch, JAX, Tensorflow, SQL, and experience deploying production models on clouds platforms (AWS, Azure, GCP). • Must have demonstrated experience leading data driven initiatives. Experience leading people is preferred. • Demonstrated experience with multi-modal LLMs. Experience with A/B testing and cocreate MLOps practice for systemic application and maintenance of the models. • Hands on experience deploying high impact, high Throughput, highly scalable, multi-modal ML models in Azure. • Experience in data analysis using different types of datasets with statistics and predictive modeling foundations, including PC and foundation models. • Experience creating patents and publications and / or speaking at top conferences such as CVPR (Computer Vision and Pattern Recognition Conference), IEEE (The Institute of Electrical and Electronics Engineers), SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining), AAAI (Association for the Advancement of Artificial Intelligence), NeurIPS. • Successful and proven experience to collaborate and deliver results in a fast paced, multifaceted, matrix environment. • Proven success at working with abstract ideas and solving complex problems while driving collaboration across various teams. • Ability to be hands-on when necessary as well as strategic is required. • Excellent public speaking and presentation skills; strong written and verbal communication skills. • Ability to travel up to 50%. Education and Qualifications Bachelor's degree in Statistics, Economics or related field is required, or equivalent experience. Master's degree or Ph.D. in Statistics or Economics is highly preferred. #LI-Remote At TRIMEDX, we are committed to cultivating a workplace culture where every associate feels valued, supported, and empowered to thrive. This culture reflects our belief that our people are our foundation, their well-being is essential, and shared success is built through meaningful work, recognition, and opportunities for growth. We embrace people's differences which include age, race, color, ethnicity, gender, gender identity, sexual orientation, national origin, education, genetics, veteran status, disability, religion, beliefs, opinions and life experiences. Visit our website to view our Workplace Culture Commitment , along with our social channels to see what our team is up to: Facebook, LinkedIn, Twitter. TRIMEDX is an Equal Opportunity Employer. Drug-Free Workplace. Because we are committed to providing a safe and productive work environment, TRIMEDX is a drug-free workplace. Accordingly, Associates are prohibited from engaging in the unlawful manufacture, sale, distribution, dispensation, possession, or use of any controlled substance or marijuana, or otherwise being under the influence thereof, on all TRIMEDX and Customer property or during working/on-call hours.

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, 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. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **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:** 12/02/2025 *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 (***************************************************************************************************************************

**_What Data Science contributes to Cardinal Health_** The Data & 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. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_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 + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **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:** 11/05/2025 *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 (***************************************************************************************************************************

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, 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. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **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:** 12/02/2025 *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 (***************************************************************************************************************************

**_What Data Science contributes to Cardinal Health_** The Data & 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. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_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 + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **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:** 11/05/2025 *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 (***************************************************************************************************************************

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00