Data Scientist at Equality Health

Position Title: Data Scientist

Reports To: Director, Business Intelligence

Division: Product & Technology

Department: Data & Intelligence

Classification: Exempt

Places of Work: Remote

People Leader: No

About the Organization:

Equality Health is an integrated, holistic, and tech-enabled healthcare delivery system focused on improving the health and wellness of diverse populations. Founded in 2015, Equality Health aims to improve access to value-based care for people who have long struggled with navigating the traditional one-size-fits-all U.S. healthcare system. The mission of the company is to provide high-quality care that improves and enhances lives regardless of race, ethnicity, age, or income.

Through its supplemental care management services and proprietary technology platform, CareEmpower™, Equality Health helps managed care plans and health systems improve outcomes and lower costs for diverse populations while simultaneously facilitating the transition to risk-based accountability. Equality Health supports over 800,000 members and more than 4,000 practice sites and continues to scale rapidly.

In 2021, Equality Health partnered with General Atlantic, a leading global growth equity firm, to help drive continued expansion and fuel the next phase of growth as a leading value-based primary care network serving the Medicaid, Medicare and ACA Exchange populations. This strategic investment will enable Equality Health to pursue further geographic expansion, technological innovation and product development while furthering its mission of increasing access to care, lowering costs and improving outcomes for underserved individuals, families and communities.

About the Role:

We are seeking a versatile and proactive Data Scientist to join our Data & Intelligence team. Reporting to the Director, Business Intelligence, this is a hybrid role that blends data science, data engineering, and automation. Ideal candidates will be comfortable wearing multiple hats in a small, agile team environment and working both independently on deliverables and in collaboration with Data Opeartions & Business Intellignece teams.

This role will have the opportunity build and scale advanced analytics capabilities from the ground up as the organization grows. The successful candidate will help establish and grow the data science capabilities within the organization, laying the foundation for and be able to execute advanced analytics projects and deliverables.

Key Responsibilities:

Advanced Analytics

Business Problem Solving

Data Engineering & Automation

Visualization & Collaboration

Required Skills & Qualifications:

• Education: Bachelor’s degree in Computer Science, Data Science, Information Systems, a related field, or equivalent experience.
• Experience: 5+ years of experience in a data-focused role (e.g., Data Scientist, Data Analyst, Data Engineer) with at least 3 years building advanced analytics as a Data Scientist.
• Experience: 5+ years in a healthcare experience with demonstrated understanding of healthcare datasets that contribute to modeling development in a VBC or other healthcare environment (enrollment, claims – including medical coding standards, gaps-in-care/HEDIS, HER, ADT, etc.) and strong demonstrated understanding of healthcare regulations and ethics (HIPAA, GDPR, Privacy & Cosent Standards, Bias Monitoring, etc.)
• Data Science & Machine Learning: Advanced knowledge of statistics and machine learning concepts (e.g., regression, classification, clustering). Demonstrated experience creating and facilitating the adoption of predictive modeling capabilities in a healthcare ecosystem. Examples of previous projects that the incumbent may have delivered: propensity to engage, propensity to churn, risking risk assessment, next best action, etc. Strong track record of deploying models/tools that improved patient care, reduced costs and/or increased efficiency in a healthcare context.
• Data Science & Machine Learning: Demonstrated experience with validation of predictive models with an emphasis on interpretability and fairness in clinical contexts and ability to assist stakeholders with interpretation of validation & results
• Programming & Engineering: Proficient Python developer with strong engineering discipline (e.g., Git, unit testing, CI/CD); experience building high-quality analytical code.
• Visualization: Familiarity with Power BI or similar visualization tools (e.g., Tableau, Looker), and ability to collaborate with dashboard developers.
• Communication: Ability to explain complex ideas clearly to both technical and non-technical audiences; experience with data storytelling and visualization is a plus.
• Collaboration: Demonstrated experience collaborating with business stakeholders to understand business challenges and/or objectives and design & deliver solutions (including technical design & roll-out support) in conjunction with stakeholders – success in this role will not just be statistical model delivery but additionally collaboration with a technical & non-technical team of collaborative stakeholders working towards producing capability upgrades to EQH’s care model

Preferred Skills & Qualifications:

• Previous experience with AWS data lakehouse architecture, including advanced SQL & Python experience (or similar), strong development experience (e.g. Git, unit testing, CI/CD, etc.)
• Expert knowledge of statistics & machine learning capabilities (e.g. regression, classification, clustering, etc.)
• AI experience/incorporation into models a plus.

Equality Health provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.