• 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.

AIR is seeking a Data Scientist Associate to support applied research, evaluation, and technical assistance projects within the Learning Supports program. This role will contribute to data-driven work focused on improving K–12 educational systems, including high-quality instruction and intervention, educator effectiveness, STEM education, and special education. The Data Scientist Associate will support projects by building data pipelines and cloud-based applications, conducting quantitative and qualitative analyses, developing visualizations and reports, and ensuring data quality and reproducibility across studies. The Data Scientist Associate will join AIR’s Learning Supports program, which conducts research, evaluation, and implementation support for federal and state agencies, school districts, and foundations. The program produces rigorous evidence and practical tools to inform policy and practice, helping ensure early and equitable access to learning and the supports children and families need to succeed. This position has the flexibility to work remotely within the United States (U.S.) or from one of AIR’s U.S. office locations. This does not include U.S. territories. About AIR: Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all. Responsibilities: - Build cloud applications and data pipelines using platform-as-a-service and/or open-source tools. - Develop visualizations, dashboards, and reports using open-source and/or business intelligence tools. - Support efforts to collect, compile, validate, interpret, and analyze data using standard practices and techniques. - Assist with computer modeling and simple to moderately complex forecasting using standard software packages. - Contribute to quantitative and/or qualitative analysis using standard techniques and methods. Work independently and collaboratively on moderately complex assignments under indirect supervision. - Create replicable, well-documented code in a shared environment. - Coordinate project support needs and requests from senior management and clients. - Develop systems to maintain and verify the accuracy of data for assigned projects. - Utilize external resources to supplement, organize, and contribute to tasks and projects. - Present and occasionally support or organize content for internal and external meetings. - Stay current on emerging technologies and provide recommendations for research applications. - Review and optimize code written by others. - Provide innovative and appropriate solutions to complex problems. Qualifications: Education, Knowledge, and Experience - A Bachelor’s degree in a field with computer science emphasis (e.g., Data Science, Data Engineering, Computer Science) with a minimum of 2 years’ experience or a master’s degree in a field with computer science emphasis (e.g., Data Science, Data Engineering, Computer Science) Python programming Experience with database software (e.g., MySQL, MS SQL Server). - Experience with generative AI tools and applications for use Interest in exploring and developing new tools for data applications Experience with Python web frameworks – Django, flask is preferred, but not required. - Experience with statistical packages like R or SAS is preferred but not required. Skills - Effective communication skills with the ability to collaborate efficiently in a virtual work environment. - Excellent organizational and time management skills. - Comfortable with solution-focused problem solving and thinking through problems creatively. - Adept in a fast-paced environment to manage multiple concurrent deliveries. - Demonstrated analytical, critical thinking, and problem-solving skills. Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements. American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of age, race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment. ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.orgor call 202.403.5000. Fraudulent Job Scams Warning & Disclaimer: AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an “@air.org” domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out torecruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) atReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams. #LI-AS1 #LI-REMOTE AIR’s Total Rewards Program, is designed to reward our staff competitively and motivate them to achieve our critical mission. This position offers the anticipated annual salary as listed. Salary offers are made based on internal equity within the institution and external equity with competitive markets. Please note this is the annual salary range for candidates that are based in the United States. Anticipated Hourly Rate Range $45—$60 USD