Senior Data Scientist – Mental Health AI Decisions

Speedrun Talent Network

New York (NY)

Sur place

USD 180 000 - 225 000

Plein temps

Il y a 11 jours

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Avantages offerts par ce poste

Equity compensation
Medical, Dental, and Vision coverage
HSA / FSA
401K
Remote-friendly stipend
Therapy Reimbursement
Parental leave

Résumé du poste

Headway is hiring a Senior Data Scientist to join a cross-functional team and translate messy signals into actionable decisions. You will design experiments, ensure data quality, and operationalize insights through predictive models that improve provider and patient experiences.

The role emphasizes tackling ambiguity, solving hard problems, and delivering meaningful impact in mental healthcare. Strong SQL, Python/R, and causal inference are essential, with a focus on measurable outcomes.

Qualifications

  • 6+ years using data to drive product or business decisions in product, growth, health, engineering, or operations environments.
  • Strong SQL and strong proficiency in Python or R for analysis and modeling.
  • Depth in experimentation and causal inference under real-world constraints.
  • Fluency with AI tools as part of your workflow: using LLMs and coding assistants to accelerate analysis, prototyping, and documentation, while still owning the judgment and rigor behind the output.
  • Practical modeling skill: feature engineering, model comparison, cross-validation or backtesting, calibration, and post-launch monitoring.
  • Strong product sense and opinions, including a track record of connecting analytics recommendations to measurable outcomes.
  • Clear communication: you can explain complex work to non-technical audiences without losing the truth.
  • A self-starter mindset: you prioritize well, follow through, and do not need heavy oversight.

Responsabilités

  • 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.
  • 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.
  • Develop predictive models that operationalize vetted insights (feature development, validation, backtesting, calibration), with clear launch criteria and monitoring plans.
  • Produce analysis and narratives that are crisp, honest about uncertainty, and drive action.
  • Help raise the bar by contributing to shared standards for metrics, experimentation, and analytical quality, so teams can move faster with confidence.

Connaissances

SQL
Python/R
Experimentation
Causal inference
AI tools
Product analytics
Communication

Outils

Python
R

Description du poste

Headway is hiring a Senior Data Scientist to join a cross-functional team and translate messy signals into actionable decisions. You will design experiments, ensure data quality, and operationalize insights through predictive models that improve provider and patient experiences.

The role emphasizes tackling ambiguity, solving hard problems, and delivering meaningful impact in mental healthcare. Strong SQL, Python/R, and causal inference are essential, with a focus on measurable outcomes.

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