Senior Data Scientist

We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. 

Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale.

We are seeking an exceptional Senior Data Scientist to work on the core systems that power our product, including but not limited to provider recommendation and population health algorithms, A/B testing for engagement and healthcare outcomes, and product analytics. You’ll play a pivotal role in shaping how we use data to steer members to better healthcare outcomes, partnering with Product Managers and Engineers to deliver high performing systems at scale. Garner’s member app guides members through their healthcare journey to ensure they receive high quality care while ensuring provider affordability and availability.

This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. 

• →Build data-driven algorithms that power Garner’s recommendation engine
• →Deliver systems that proactively identify high-risk members and enable timely, customized care navigation interventions
• →Own the KPIs and metrics that we use to measure the success of our member activation efforts, engagement tactics, and doctor recommendations
• →Develop a strong understanding of the healthcare economy

• 3+ years of experience using Python and SQL to build production, data-driven algorithms
• Familiarity with optimization algorithms and applied machine learning techniques, including recommendation systems and gradient-boosted models (e.g., XGBoost)
• Strong ability to match the right tools and techniques to real-world problems.
• Strong communication skills and the ability to synthesize complex information for both business and technical stakeholders
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

• Python, SQL, AWS, Snowflake, pandas, XGBoost

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

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Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.