Senior Data Scientist

Headway; United States; On-site; USD 140,000 - 185,000; Full time

Job summary

Headway is seeking a Senior Data Scientist to join a cross-functional product team. You will turn messy signals into decisions, design experiments, and translate findings into actionable recommendations that improve provider and patient experiences.

You will partner with Product, Engineering, Design, Ops, and Clinical stakeholders to define questions, metrics, and decision rules, and you will build predictive models with robust monitoring to operationalize insights.

Qualifications

• 6+ years using data to drive product or business decisions in product, growth, engineering, or operations environments.
• Strong SQL and strong proficiency in Python or R for analysis and modeling.
• Clear communication: explain complex work to non-technical audiences without losing the truth.
• Strong product sense and opinions, linking analytics to measurable outcomes.
• Demonstrated depth in experimentation and causal inference under real-world constraints.
• Bayesian experimentation experience strongly preferred.
• Motivation for improving access and affordability in mental healthcare.
• Practical modeling skills: feature engineering, model comparison, cross-validation or backtesting, calibration, and post-launch monitoring.
• A self-starter mindset: prioritizes, follows through, and needs minimal oversight.

Responsibilities

• Partner with Product, Engineering, Design, Ops, and Clinical teams to define questions, metrics, guardrails, and decision rules.
• Design and analyze A/B tests and quasi-experiments with clear hypotheses and success criteria.
• Connect behavior to strategy using funnel, cohort, segmentation, and lifecycle analyses.
• Apply causal inference when experiments aren’t possible.
• Build predictive models to operationalize insights with clear launch criteria and monitoring.
• Produce analysis narratives that are crisp and honest about uncertainty to drive action.
• Raise analytics standards to help teams move faster with confidence.

Skills

SQL

Python/R

Experimentation

Causal inference

Communication

Product analytics

Bayesian methods

Self-starter

Years of experience

Job description

• As a Senior Data Scientist, you will sit in the heart of a cross-functional product team and help turn messy, real-world signals into clear decisions
• You will make sure we are capturing the right data, designing experiments that tell us what is actually driving outcomes, and translating findings into recommendations that teams can act on quickly
• When the insight is stable and valuable, you will help operationalize it through predictive models that improve provider and patient experiences
• If you like ambiguity, enjoy hard problems, and want your work to matter in the world, you will fit right in
• Be the analytics partner inside the pod. Work closely with Product, Engineering, Design, Ops, and Clinical stakeholders to define the questions, the metrics, the guardrails, and the decision rules
• Run rigorous experiments. Design and analyze A/B tests and quasi-experiments with clear hypotheses, power considerations, and pre-defined success criteria
• Connect behavior to strategy. Use funnel, cohort, segmentation, and lifecycle analysis to understand how people and providers experience Headway, and where product changes will have the biggest impact
• Use causal inference when experiments are not possible. Apply approaches like diff-in-diff, matching, and regression-based designs with principled uncertainty quantification
• Build models when they should exist. Develop predictive models that operationalize vetted insights (feature development, validation, backtesting, calibration), with clear launch criteria and monitoring plans
• Create decision-ready work. Produce analysis and narratives that are crisp, honest about uncertainty, and drive action
• Help raise the bar. Contribute to shared standards for metrics, experimentation, and analytical quality, so teams can move faster with confidence

• Clear communication: you can explain complex work to non-technical audiences without losing the truth
• 6+ years using data to drive product or business decisions in product, growth, engineering, or operations environments
• Strong SQL and strong proficiency in Python or R for analysis and modeling
• Strong product sense and opinions, including a track record of connecting analytics recommendations to measurable outcomes
• Demonstrated depth in experimentation and causal inference under real-world constraints.
• Bayesian experimentation experience strongly preferred
• Motivation for our mission: improving access and affordability in mental healthcare
• Practical modeling skill: feature engineering, model comparison, cross-validation or backtesting, calibration, and post-launch monitoring
• A self-starter mindset: you prioritize well, follow through, and do not need heavy oversight