Senior Data Scientist

Garner’s mission is to transform the healthcare economy, delivering high-quality and affordable care for all. 

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.

About the role:

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.

Where you will work:

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. 

What you will do:

• 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

The ideal candidate has:

• 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

Technologies we use: 

• 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.

Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.

Compensation Transparency:

The target salary range for this position is $200,000 - $240,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.