About the Role: Health-E Commerce is seeking a Data Scientist to help shape the future of our modern data ecosystem. As a critical member of our centralized Data & Analytics team, you will be our primary expert in statistical modeling, machine learning, and AI applications built on top of our proprietary data platform leveraging unique first-party data. Reporting directly to the SVP of Data Science & Analytics, you will play a critical role in building out our key Data Science assets that are direct contributors to revenue, ranging from marketing measurement and optimization, site optimization and personalization, and forecasting. As one of the founding members of the Data Science team, you will work cross-functionally across marketing, finance, merchandising, and product. What You'll Do: - Statistical Modeling: Design and implement advanced statistical models for applications such as demand forecasting, regression analysis, and probabilistic sampling to solve real-world business challenges. - Machine Learning: Own the end-to-end ML lifecycle—feature engineering, model training, hyperparameter tuning, and deployment. Work with supervised, unsupervised, and ensemble methods to optimize performance across marketing, personalization, and operational use cases. - AI Applications: Explore and implement cutting-edge AI techniques (e.g., NLP, recommendation systems, generative models) for exploratory work in GenAI. - Data Modeling & Visualization: Collaborate with Data Engineering to ensure robust data pipelines for feature engineering and modeling. Partner with Analytics to deliver interactive dashboards and visualizations that integrate seamlessly with existing tools. - Business Insights: Translate complex technical outputs into actionable insights for stakeholders. Frame ambiguous business problems into testable hypotheses and communicate findings in clear, non-technical language without losing nuance. - Innovation & Thought Leadership: Stay ahead of industry trends in ML/AI and proactively identify opportunities to apply emerging technologies to Health-E Commerce’s ecosystem. What You'll Bring: - Minimum of 4+ years of experience in data science, statistical modeling, machine learning, AI or related experience. - Strong Python and SQL experience ; experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Hands-on experience with advanced methods such as boosted decision trees, neural networks, clustering, and stochastic simulation. - Experience with various cloud data platforms working with data at scale and as part of end-to-end pipelines (e.g., Snowflake, Databricks, Azure Synapse, BigQuery, Microsoft Fabric). - Experience deploying ML models into production, including MLOps and model maintenance. - Proficiency in data visualization in at least one popular platform (Tableau, PowerBI, etc.) - Experience working as part of an end-to-end data team, with proven ability to collaborate across technical teams in data engineering, product, analytics, and technology. - Strong experience working in agile methodologies and using tools like Jira. - Proven ability to translate business needs into technical requirements and to explain technical models into actionable insights. Exceptional communication and stakeholder management skills. - Strong ability to translate ambiguous problems and translate into clear problem statements. - Experience in e-commerce, marketing, or digital health is highly desirable. - BA/BS in Computer Science, Data Science, Mathematics, Engineering, Economics or other technical function. Masters or PhD preferred. Compensation, Benefits, & Additional Details: Health-E Commerce's compensation philosophy is grounded in market data and internal equity to ensure fairness and consistency across the team. Individuals new to the company should generally expect offers to fall between the entry point and midpoint of the salary range. Our goal is to provide an offer that supports growth potential within the role and allows for future salary progression. - Compensation: $130,000-185,000 - Discretionary Annual Bonus Eligibility: Up to 15% - Medical, Dental, Vision, and 401K with a company match - Dependent Care, FSA & HSA accounts - Paid Parental & Bonding Leave - Flexible PTO & office closure on all major holidays - Monthly wellness & internet reimbursements - Professional development including certification support & leadership coaching - Mental Health resources - 100% remote within the United States - Must be able to work EST hours Candidate Privacy Notice

• Assist with all data management project management-related activities • Support closeout/lock of study databases • Execute study activities including database verification and data transfer validation • Prepare and deliver routine and interim/final data transmissions

• Support applied research, evaluation, and technical assistance projects within the Learning Supports program. • Contribute to data-driven work focused on improving K–12 educational systems. • Build data pipelines and cloud-based applications. • Conduct quantitative and qualitative analyses. • Develop visualizations and reports. • Ensure data quality and reproducibility across studies. • Collaborate with federal and state agencies, school districts, and foundations.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Health Care Evaluation Research Department at NORC seeks a Senior Data Scientist II. In this role, the Senior Data Scientist II will lead analytic work using large administrative and claims-based data to support the implementation, evaluation, and ongoing monitoring of CMS Innovation Center (CMMI) models, Medicare and Medicaid programs, and related payment and delivery system reforms. - Emphasizes technical leadership, analytic execution, and deep familiarity with CMS data systems. - Mentors data analysts and data scientists while collaborating closely with other project leaders, policy researchers, economists, and methodologists. - Opportunity to apply deep technical expertise to CMS Innovation Center models and Medicaid initiatives. - Leads analytic contributions to new business efforts and manages complex workstreams. Work Location: NORC supports hybrid work arrangements for this position in either our Washington, DC or Chicago, IL offices. Remote work status may be considered for outstanding candidates. Occasional travel may be required based on project needs and client meetings. Responsibilities - Lead advanced analytic work supporting the implementation, evaluation, and monitoring of CMS Innovation Center (CMMI) models, including alternative payment models and delivery system reforms. - Manage major project workstreams including advanced analytic work. - Apply claims-based and administrative data to assess program operations, utilization, quality, access, and cost across Medicare, Medicaid, and commercial populations. - Lead analyses using Medicaid T-MSIS (including TAF), state Medicaid claims and encounter data, Medicare fee-for-service claims, Medicare Advantage encounter data, and Medicare Part D prescription drug data. - Access and analyze data in CMS secure data environments, including CCW/VRDC and, as appropriate, Model Space, IDR, and other CMS data platforms. - Lead data acquisition, ingestion, cleaning, transformation, linkage, and harmonization for large and complex health care datasets. - Develop and implement quality assurance protocols, documentation standards, and reproducible analytic workflows. - Serve as a technical lead and mentor to data analysts and data scientists. - Lead or co-lead analytic and data-focused components of business development efforts, including proposal writing and capture discussions. Qualifications - Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, Public Health, or a related field. - At least 9 years of relevant experience (or 12 years with a Bachelor’s degree) in positions of increasing responsibility involving large-scale data analysis and statistical modeling. - Demonstrated experience leading project teams or teams conducting substantial workstreams on larger projects. - Demonstrated experience working with Medicare and/or Medicaid administrative or claims data. - Experience accessing and analyzing CMS data through the Chronic Conditions Warehouse (CCW) / Virtual Research Data Center (VRDC). - Demonstrated ability to lead complex analytic work, mentor technical staff, and communicate results to technical and non-technical audiences. - Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. Requirements - Strongly Preferred Qualifications: - Master’s degree or higher in a relevant field. - Experience supporting CMS Innovation Center (CMMI) model implementation, monitoring, or evaluation. - Experience working with CMS data environments, including Model Space and the Integrated Data Repository (IDR). - Hands-on experience with T-MSIS/TAF, state Medicaid claims and encounter data, Medicare Advantage encounter data, and Medicare Part D prescription drug data. - Proficiency with SAS, SQL, R, and/or Python, and experience working in modern data warehouse or data lake environments. - Experience leading or contributing to technical proposal writing for federal health care analytics or evaluation work. Benefits - The pay range for this position is $160,000 - $200,000. - This position is classified as regular. Regular staff are eligible for NORC’s comprehensive benefits program. - Generously subsidized health insurance, effective on the first day of employment. - Dental and vision insurance. - A defined contribution retirement program, along with a separate voluntary 403(b) retirement program. - Group life insurance, long-term and short-term disability insurance. - Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). - This role is bonus eligible. Bonus payment is contingent upon program terms and individual performance. EEO Statement NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.