Associate Data Scientist

Garner Health
New York, NY

Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we’ve developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career.

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 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.

Compensation Transparency:


The target salary range for this position is $95,000 - $115,000. 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), Teladoc Health and more.


Fraud and Security Notice:


Please be aware of recent job scam attempts. Our recruiters use getgarner.com email domain exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to [email protected] .

Equal Employment Opportunity:


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 [email protected] .

Posted 2025-11-25

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