Staff Data Scientist

About the Role

We are looking for a 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

What You Will Bring to the Team

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

Technologies We Use

• Python and Jupyter Notebooks
• SQL (Snowflake)
• Argo
• DBT
• AWS
• Terraform

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 incentive and competitive benefits plans, including but not limited to:

• Flexible PTO
• Medical/Dental/Vision plan options
• 401(k)
• Teladoc Health and more