Data Scientist II - Product

Garner Health•New York, NY

21h•$158,000 - $175,000•Onsite

About The Position

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 Data Scientist II to join our Central Data team. This role will report to the Director, Data Science & Analytics. This role is critical to shaping Garner’s Product & Growth strategy - from evaluating the impact of our products to building models that drive engagement. You will collaborate with data, product & engineering to improve the effectiveness of Garner’s member facing product – e.g., answering questions like, “what features of our product drive engagement?”, “What is the best time of day and channel to outreach to members?”, or “What data concepts do we need to build out to improve our understanding of what drives someone to engage with Garner?” Your work will directly impact our member-facing products and inform strategic product decisions.

Requirements

2+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
Excellent verbal and written communication skills, with ability to present information and analysis results effectively
A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders
A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success, ideally in a startup environment
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

Responsibilities

Identify and measure success of product efforts through goal setting, AB testing, forecasting, and monitoring of key product metrics to understand trends
Own projects end to end including problem definition, implementation, validation, & iteration
Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, including AI & machine learning models
Collaborate cross-functionally with data scientists, product leaders, engineering & operations teams to shape how we define product & member engagement metrics, apply statistical rules, and model member behavior
Synthesize & present your work to Garner leadership to drive company level decisions
Contribute to improving data science practices, tooling, and documentation