Staff 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 Staff Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You’ll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance. Your work will directly impact our member recommendations and provider-facing data products. You will also be a technical leader, raising the bar for how we conduct analysis, build models, and deploy data science code by improving standards and mentoring team members. 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: Partner with product managers and clinical experts to lead projects shaping how we define and measure provider cost and quality Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates Serve as a subject matter expert for statistical modeling, improving methods for evaluating current models and future changes Partner with data engineers to design scalable data pipelines that ingest, clean, and enrich healthcare provider data Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions Define data science standards and best practices, and mentor team members to raise the technical capabilities of the data science team The ideal candidate has: 8+ years professional experience in data science, product analytics, and/or healthcare A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders Strong Python and SQL skills Expertise in statistical modeling techniques and a track record of building impactful predictive models A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success Experience working in a rapidly evolving startup environment. A desire to be a part of our mission to improve the U.S. healthcare system 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 and Jupyter Notebooks, SQL (Snowflake), Argo, DBT, AWS, Terraform 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 $263,000 - $300,000. 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 i