About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Government Administration.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client is seeking an experienced Data Scientist to join a Health Information Technology team focused on large-scale health care claims analytics and the All-Payer Claims Database (APCD). As a member of the team you will apply statistical methods, predictive modeling, and machine learning to support policy, program evaluation, and public-facing reporting.

• Perform statistical analysis, predictive modeling, and machine learning using large-scale healthcare claims and related datasets
• Assess and improve data quality: identify missingness, inconsistencies, and anomalies; lead remediation with submitters
• Lead data submitter engagements (health plans, providers) for submission reviews and quality assurance
• Develop strategies for integrating non-claims data (clinical, provider, social determinants) into APCD analytics
• Establish or refine data standards, definitions, validation rules, and collection methodologies
• Prototype and apply emerging AI/ML techniques and generative AI where appropriate to enhance APCD analytics
• Translate analytical findings into clear dashboards, reports, policy recommendations, and public products
• Collaborate with cross-functional teams to design and deliver reproducible analytics and maintain documentation

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Minimum Qualifications

Candidates must clearly demonstrate the minimum experience and education required. Meeting these is necessary for consideration.

• Seven (7) years professional experience in data analytics, quantitative methods, or GIS involving statistical modeling or spatial analysis
• At least one (1) year of that experience at a junior working level assisting with data management, analysis, or predictive activities
• Bachelor’s degree in data science, mathematics, statistics, biostatistics, epidemiology, public health, computer science, GIS, geography, or a closely related field (substitution rules may apply; see notes)

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Preferred Qualifications

These skills will make candidates more competitive — include them on your application and examples of work if available.

• Experience analyzing large-scale healthcare claims and integrating non-claims clinical or social datasets
• Experience performing healthcare data quality checks, submission reviews, and submitter follow-up
• Experience creating data standards, specifications, governance processes, or new health data collection systems
• Advanced modeling experience: predictive analytics, risk adjustment, machine learning, or generative AI applied to healthcare data
• Proficient in Python and SQL; familiarity with R, SAS, Stata, or other statistical software
• Track record translating analytics into government reports, policy briefs, peer-reviewed publications, or public-facing dashboards
• Knowledge of healthcare privacy, data-use policies, and relevant state/federal regulations

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Skills & Tools

• Strong statistical and modeling skills (regression, predictive models, ML pipelines)
• Data engineering and ETL experience with large claims datasets
• Programming: Python, SQL; R/SAS/Stata a plus
• Dashboarding and reporting: experience with tools for dynamic reports and visualizations
• Excellent written and oral communication; ability to translate technical findings for policy audiences
• Experience with data governance and reproducible workflows

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Location, Schedule & Employment Type

• Location: Hartford, CT (onsite at Confidential Client’s office)
• Schedule: Full-time, first shift, Monday–Friday (40 hours/week)
• Employment Type: Full-time

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What We Offer

• Opportunity to influence state-level health policy through rigorous analytics
• Professional growth and development in public-sector data science
• Competitive state employee benefits and work/life balance (Confidential Client benefits apply)
• Meaningful, impact-driven work that informs public programs and reporting

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Hiring Process & Notes

Confidential Client manages the hiring process. Careertakes is assisting as the recruiting partner and may present matched candidates. Typical steps include application screening, referral questionnaires, and interviews with the hiring team.

• Be sure your application materials clearly document how you meet the minimum qualifications and preferred skills
• Reasonable accommodations are available — applicants needing accommodations should indicate that during the application process
• Confidential Client follows applicable state and federal hiring laws; offers are made in accordance with merit and employment rules

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.