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Staff Data Scientist (GTM)

Headway

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Tags

Data ScienceSQLPythonRForecastingCausal InferenceCausal Inference Failure ModesdbtSelf-service AnalyticsGo-to-Market (GTM)

About the role

Role overview

Join Headway as a Staff Data Scientist (GTM), serving as the overall owner of data science for the commercial business. You will report directly to the Chief Commercial Officer and act as a strategic and technical anchor for the data science function supporting GTM.

Key missions

  • Lead proactive strategic analyses for the commercial organization (including senior commercial leadership and key accounts).
  • Provide technical leadership to other data scientists working on commercial agreements: technical review, mentoring, and raising analytical rigor.
  • Enable self-service analytics for the commercial team.
  • Influence executive decision-making with clear recommendations and measurable outcomes.

Requirements

  • 10+ years of experience in data science or analytics roles.
  • Expertise in forecasting and causal inference, including common failure modes and how to design around them.
  • Proven ability to partner cross-functionally with Commercial, Payer, Finance, Product, and Operations.
  • Track record of influencing executives and building roadmaps with senior stakeholders.
  • Strong stakeholder management and executive presence.
  • Experience adopting AI-assisted tools to accelerate and automate data workflows.
  • Expert fluency in SQL and strong proficiency in Python or R; building reliable, reusable analytical workflows.
  • Experience with data modeling, ideally with dbt.

Nice-to-haves

  • Significant go-to-market (GTM) experience/specialization (preferred). Strong candidates eager to build GTM expertise are also encouraged.

About Headway

Headway is a company operating in the commercial/GTMs space, supporting go-to-market efforts with data-driven decision-making. The role focuses on building analytics and data science capabilities for the commercial business, working closely with Commercial, Payer, Finance, Product, and Operations teams.

Scraped 8/1/2026