# Staff Data Scientist

**Company:** [Headway](https://hotfix.jobs/companies/headway)
**Location:** San Francisco, CA, Seattle, WA, New York, NY
**Role:** Data Science
**Salary:** $212k – $265k/yr
**Experience:** 10+ years
**Skills:** SQL, Python, R, dbt, Forecasting, Causal Inference, Data Modeling, ai-assisted tools
**Posted:** 2026-07-28

> Own commercial data science end-to-end for Headway's GTM and payer business. Lead strategic analyses, forecasting, and causal inference for the Chief Commercial Officer and executive stakeholders while technically leading other data scientists.

## Job Description

## Responsibilities
- Own the commercial data science roadmap end to end, building it directly with Headway's Chief Commercial Officer and aligning it to the priorities of the Payer pillar.
- Lead proactive strategic analyses for the Chief Commercial Officer and for Headway's most important accounts.
- Serve as a watchtower for the key metrics across all commercial agreements, surfacing risks and opportunities before they become problems.
- Enable self-service analytics for the commercial team, building the definitions, dashboards, and durable assets that let partners answer their own questions with confidence.
- Serve as technical lead for other data scientists working on commercial, providing strong technical review, mentorship, and raising the bar for rigor.
- Translate complex technical findings into clear, actionable recommendations for executive stakeholders.

## Requirements
- 10+ years of experience in data science or analytics roles.
- Strong executive presence and stakeholder management skills, with a proven ability to earn trust and build a roadmap directly with senior and executive partners.
- Significant go-to-market experience and specialization is strongly preferred.
- Proven success partnering cross-functionally with Commercial, Payer, Finance, Product, and Operations teams.
- Expertise in forecasting and causal inference, including common failure modes and how to design around them.
- Expert fluency in SQL and strong proficiency in Python or R, including building reliable, reusable analytical workflows; experience with data modeling, ideally using dbt.
- Experience adopting and championing AI-assisted tools to accelerate and automate data workflows.
- A track record of influencing executive decisions with clear recommendations and measurable outcomes.

## Nice-to-Haves
- Eager to build go-to-market expertise (for strong candidates meeting other criteria).

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