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Associate Data Scientist

Garner's mission is to transform the healthcare economy, delivering high quality and affordable care for all. By helping employers restructure their healthcare benefit to provide clear incentives and data-driven insights, we direct employees to higher quality and lower cost healthcare providers. The result is that patients get better health outcomes while doctors are rewarded for practicing well and not performing more procedures. We are backed by top-tier venture capital firms, are growing rapidly and looking to expand our team.

About the role:

We are looking for an Associate Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You’ll work with other data scientists, data engineers, and product managers to improve the logic and systems we use to rank providers and power our recommendations.

Where you will work:

This full-time 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 and maintain data-driven algorithms to improve provider recommendations and the member search experience.
Design data pipelines that model and enrich healthcare provider data.
Collaborate across product, engineering, and operations teams to solve open-ended business problems with data-driven solutions.

What you will bring to the team:

Bachelor’s degree in Computer Science, Mathematics, Statistics, Economics, or a related STEM field.
Less than 1 year of professional experience in data science, analytics, finance, consulting, or product roles.
Proficiency in statistics, hypothesis testing, and exploratory data analysis.
Demonstrated ability to produce high-quality analytical work through internships, academic research, or personal projects.
Experience with Python or SQL, including use of common data science libraries (e.g. Pandas, NumPy, scikit-learn, and visualization tools such as Matplotlib or Plotly), is highly desirable.
Strong technical writing, analytical, and communication skills.