data
Posted 2 weeks agoPrincipal Data Scientist
at Headspace
New York City, United StatesHybrid
Responsibilities
- Own and evolve end-to-end demand and supply forecasting at both macro and shift levels for care services (coaching, therapy, psychiatry), incorporating behavioral, operational, and external drivers.
- Develop high-accuracy forecasting models to support new product launches and partnerships (e.g., large-scale enterprise or channel launches).
- Identify and translate drivers of demand variability into actionable operational levers that improve capacity planning and resource allocation.
- Build forecasting and shift optimization systems that integrate multi-modal data sources (including B2B/enterprise signals) to ensure reliable predictions and scalable recommendations.
- Enable marketplace leaders with data-driven insights to optimize access, capacity, and fulfillment performance.
- Define and standardize clinical and coaching outcome metrics (e.g., PHQ, GAD, PSS) and ensure they are reliably captured and reported.
- Lead the development of end-to-end measurement frameworks for care journeys, ensuring high data quality and instrumentation completeness.
- Build and scale data products, forecasting pipelines, and decision-support tools that enable self-service insights and automation.
- Collaborate with Data Engineering and BI to define robust data models, metric definitions, and reporting layers.
- Drive new uses of AI in analytics and forecasting.
- Mentor and develop data scientists and analysts, strengthening capabilities in communication, stakeholder influence, and technical execution.
Requirements
- experience successfully partnering directly with executive leadership and product leaders, showcasing the ability to align analytics, data science with strategic goals. Proven
- experience in healthcare analytics (preferred).
- Advanced skills in SQL and Python, with Looker, Tableau, Amplitude,Statsig for event-based deep dives and advanced analytics also preferred.
- Bachelor's or master's degree in computer science, statistics, mathematics, or a related quantitative field.
- Candidates must permanently reside in the US full-time.
- We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.
Experience
- 8+ years of well-rounded analytics and data science experience, ideally with exposure to Digital Health, high-growth SaaS, and/or Mental Health industries in rapid growth environments. 6+ years of
- Strong expertise in statistical modeling, causal inference, and experimentation. 6+ years of
- 4+ years of progressive
- 7+ years of expertise in big data technologies (e.g., Redshift, S3, Databricks, Datalakes, Spark).
Benefits
- This role sits at the intersection of forecasting, experimentation, and workforce optimization strategy, enabling us to deliver high-quality, accessible mental healthcare at scale.
- Your recruiter will share more details. Pay & Benefits :
- The anticipated new hire base salary range for this full-time position is $162,000-$225,000 + equity + benefits.
- For candidates based in San Francisco, New York City, or Seattle, a separate salary range of $207,000-$258,750 applies, consistent with our location-based compensation philosophy.
- Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States.
- Within this range, individual compensation is determined by a candidate’s location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training.
- Your recruiter will provide more details on the specific salary range for your location during the hiring process.
- At Headspace, base salary is but one component of our Total Rewards package.
- We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more.
- Additional details about our Total Rewards package will be provided during the recruitment process. About Headspace
- We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective, personalized, and truly accessible whenever and wherever they need it.
- They’re our shared commitment to building a more connected, human-centered team—one that’s redefining how mental health care supports people today and for generations to come.
- The chance to shape what mental health care looks like next Competitive pay and
- How we feel about Diversity, Equity, Inclusion and Belonging:
- A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship—including, for example, a managerial relationship.
Contact
- For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice
Additional details
- About the Principal Data Scientist at Headspace:
- We are looking for an innovative, strategic and impact- driven Principal Data Scientist to lead the evolution of data science across our care delivery and marketplace ecosystem.
- You will be designing analytical frameworks, developing data science products, and uncovering insights that power Headspace’s mission to provide lifelong mental health support.
- You will play a critical role in shaping how Headspace forecasts demand and supply, optimizes marketplace performance, and measures clinical and coaching outcomes.
- Working closely with leaders across Product, Care, Operations, Finance, Engineering, and Marketing, you will design and deploy advanced analytical solutions that directly influence business strategy and member experience.
- This is a high-impact leadership role for a seasoned data scientist who combines deep technical expertise, strong business intuition, and a passion for improving mental health outcomes. What you will do:
- Partner with cross-functional leaders to define and track key marketplace metrics, including access (e.g., time-to-appointment), utilization, and network health.
- Apply causal inference and statistical modeling to evaluate engagement, and long-term member outcomes.
- Partner with stakeholders to translate outcome insights into product, clinical, and operational improvements.
- Translate complex models into intuitive dashboards and tools for business and operational stakeholders.