# Staff Data Scientist - Product Analytics

**Company:** [Headway](https://hotfix.jobs/companies/headway)
**Location:** Remote
**Role:** Data Science
**Salary:** $212k – $265k/yr
**Experience:** 10+ years
**Skills:** SQL, Python, R, Bayesian Experimentation, Causal Inference, Measurement Design, Modeling, Dashboards, Experiments, A/B Testing
**Posted:** 2026-01-27

> Staff Data Scientist owns product measurement strategies, leads cross-team initiatives, sets experimentation standards, and builds scalable analytics for product areas. Requires 10+ years experience, SQL/Python expertise, and strong causal inference skills.

## Job Description

## What you will do

- Own a product measurement strategy. Define north star and input metrics for a major product area (or multiple surfaces), align stakeholders on definitions, and build conviction in what “good” looks like.
- Lead multi-team initiatives. Drive cross-functional work where the right answer is not obvious and the path is not linear, and ensure we land measurable outcomes.
- Set the experimentation standard. Establish frameworks for test design, guardrails, decision rules, and interpretation that improve both speed and rigor across teams.
- Develop evaluation systems for complex products. For areas like matching, ranking, or applied AI experiences, build measurement approaches that combine offline evaluation, online experiments, and human-quality signals when needed.
- Build scalable analytical assets. Invest in durable measurement systems: semantic definitions, self-serve dashboards, monitoring and alerts, and repeatable templates that reduce ad hoc work.
- Mentor and uplevel. Coach other data scientists and analytics partners, provide strong technical review, and model what great looks like.
- Be a thought leader. Proactively identify opportunities, shape roadmaps with an evidence-based POV, and create clarity where teams feel stuck.

## What will make you successful

- 10+ years using data to drive product or business decisions in product, growth, engineering, or operations environments (or equivalent depth of experience and scope).
- Expert fluency in **SQL** and strong proficiency in **Python** or **R**, including building reliable, reusable analysis workflows.
- Deep expertise in **Bayesian experimentation**, **causal inference**, and measurement design, including common failure modes and how to prevent them.
- Strong applied modeling judgment: you know when a model is the right tool, and you can build, validate, and launch responsibly.
- A track record of leading ambiguous, cross-team work and delivering measurable outcomes (not just insights).
- Excellent executive communication and influence: you earn trust, align stakeholders, and move decisions forward.
- Strong product sense and an instinct for decision leverage: you focus on what changes outcomes, not what is merely interesting.
- Motivation for our mission: improving access and affordability in mental healthcare.

## Compensation and Benefits

**Expected base pay range: $212,000 - $265,000**, based on qualifications, experience, and location. Eligible for equity grant.

Benefits include:
- Equity compensation
- Medical, Dental, and Vision coverage
- HSA / FSA
- 401K
- Work-from-Home Stipend
- Therapy Reimbursement
- 16-week parental leave
- Carrot Fertility reimbursement
- 13 paid holidays + Holiday Break
- Flexible PTO
- Employee Assistance Program (EAP)
- Training and professional development

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