Director, Data Science
New
H
HeadspaceDigital Health
Remote - United StatesFull-TimeDirector
Salary180,000 - 287,500 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 12+ years
Requirements
- 12+ years of experience in data science, product science, marketing science, quantitative analytics, experimentation, economics, statistics, machine learning, or related fields.
- Proven ability managing senior ICs and people managers, including managers and principal-level scientists.
- Deep expertise in experimentation, causal inference, and predictive modeling.
- Experience partnering closely with Product and Engineering on instrumentation, measurement strategy, and decision-making.
- Strong track record influencing roadmap and investment decisions with clear, evidence-based recommendations.
- Demonstrated ability to connect behavioral measurement and scientific work to business outcomes and product strategy.
- Excellent communication and executive-facing partnership skills.
- Experience owning both product and marketing science, or closely related domains (Preferred).
- Experience with Statsig or similar experimentation platforms (Preferred).
- Experience with healthcare, digital health, care delivery, or other environments where ROI and outcomes measurement matter (Preferred).
- Experience using AI hands-on in experimentation, analytics, modeling, or team productivity workflows (Preferred).
- Experience in subscription, lifecycle, or B2B/partner-oriented businesses (Preferred).
Responsibilities
- Own the strategy, execution, and impact of Data Science across product, marketing, and forecasting.
- Set direction for how the team supports product development, experimentation, lifecycle, growth, and business decision-making.
- Ensure focus on the highest-value problems across Product, Marketing, Care, and B2B, tied to member and business outcomes.
- Establish high standards across experimentation, causal inference, modeling, forecasting, segmentation, and statistical rigor.
- Raise quality in hypotheses, metrics, experiment design, model evaluation, and decision recommendations.
- Build durable review mechanisms and operating standards to ensure work is sound, interpretable, and decision-ready.
- Lead product analytics to shape how user behavior is understood across acquisition, engagement, retention, and care journeys.
- Strengthen data foundations including instrumentation, telemetry quality, validation, and experimentation readiness.
- Partner cross-functionally to define measurement strategies that demonstrate care impact, outcomes, and ROI.
- Build and lead a high-performing team by developing leaders, raising the talent bar, and leveraging AI to improve productivity and insight generation.
View Full Description & ApplyYou'll be redirected to the employer's site
