[Hiring] Healthcare Navigation Data Scientist @Alight Solutions

Role Description

We're seeking a Data Scientist to help enhance provider search, recommendation, and value measurement capabilities across our Health Navigation platform. In this role, you'll leverage healthcare data, analytics, and predictive modeling to improve provider recommendations, uncover cost and utilization insights, and demonstrate measurable client value.

You will collaborate with Product, Engineering, Clinical, and Value Engineering teams to develop scalable, data-driven solutions that improve member outcomes, increase engagement, and support healthcare affordability.

Please NOTE: Applicants must reside in the United States in one of the 50 States or the District of Columbia in order to be considered for this role.

US Citizenship requirements: As this role supports services provided to the federal government and/or a federal government contractor, proof will be required to verify US citizenship status at time of hire.

Key Responsibilities

• Analyze healthcare and book-of-business data to identify cost drivers, utilization trends, and opportunities to improve member outcomes and reduce healthcare spend.
• Develop and enhance provider scoring, ranking, and recommendation methodologies using factors such as cost, quality, specialty alignment, and provider experience.
• Integrate and transform complex healthcare datasets, including claims, provider, pricing, and network data, to support analytics and modeling initiatives.
• Build, validate, and optimize statistical, predictive, and machine learning models that improve provider search relevance and personalization.
• Evaluate business rules, scoring outputs, and recommendation performance to ensure alignment with clinical and business objectives.
• Monitor key performance metrics, identify opportunities for continuous improvement, and recommend enhancements to data sources, models, and processes.
• Partner cross-functionally with Product, Engineering, Clinical, and Business teams to translate analytical insights into actionable solutions and measurable business value.

Qualifications

• Experience working with large, complex datasets using SQL and Python and/or R.
• Experience developing data models, scoring frameworks, predictive analytics, or machine learning solutions.
• Knowledge of healthcare datasets and concepts, including claims data, CPT, ICD, NPI, provider networks, and healthcare pricing.
• Understanding of healthcare cost drivers, utilization analytics, quality measures, and provider performance metrics.
• Analytical, problem-solving, and communication skills with the ability to translate complex findings into business insights.
• Experience with provider search, recommendation systems, ranking models, or personalization algorithms.
• Knowledge of clinical quality measures such as HEDIS, CMS, or related healthcare standards.
• Experience applying machine learning techniques in healthcare, health technology, or navigation environments.
• Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, Healthcare Analytics, or a related field. Advanced degree preferred.

Requirements

• Background check consistent with Alight’s employment policies.
• Virtual interviews to be conducted on video; Alight is a camera-on culture.

Benefits

• Comprehensive total rewards package supporting mind, body, wallet, and life.
• Health, dental, and vision coverages starting Day One.
• Wellbeing programs and retirement plans with contribution matching.
• Generous time off and parental leave.
• Continuing education and career growth opportunities.
• Flexible working arrangements.

Company Description

At Alight, we believe a company’s success starts with its people. Alight embraces values that come directly from our people – purposeful, human, united, and growth-minded – reflecting our inclusive culture and promise that our clients expect. We are passionate about connecting purpose with impact.

Alight empowers clients to build a healthier and more financially secure workforce by unifying the benefits ecosystem across health, wealth, wellbeing, navigation, and absence management.