Headspace is looking for a Staff Data Scientist to lead the measurement and delivery of insights and actionable recommendations that drive performance improvements in key areas such as enrollment, activation, engagement, retention, and member outcomes.
Requirements
- 8+ years of well-rounded analytics experience, ideally with exposure to Digital Health, high-growth SaaS, and/or Mental Health industries in rapid growth environments.
- 8+ years of expertise in big data technologies (e.g., Redshift, S3, Databricks, Datalakes, Spark).
- Advanced skills in SQL, Python, R, Looker, Tableau, Statistics, Amplitude, Domo, CoreMetrics, Google Analytics, and Excel.
- Required expertise in SQL, Python, Looker, Tableau, Statistics, and Amplitude for event-based deep dives and advanced analytics.
- 6+ years of experience working directly with executive leadership and product leaders, showcasing the ability to align analytics, data science with strategic goals.
- 6+ years of experience owning and managing data products while driving their strategic utilization to create business impact.
- 4+ years of progressive experience in healthcare analytics (preferred)
Responsibilities
- Strategic Leadership: Drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities.
- Cross-Functional Partnership: Provide thought leadership by collaborating with cross-functional teams to translate complex business problems into scalable analytical frameworks.
- Analytical Expertise: Serve as the organization's subject matter expert on advanced statistical analysis, experimental design, data science approaches, and financial impact analysis, ensuring best practices are followed.
- Problem Solving: Lead root cause analyses for critical business metrics, crafting structured approaches to identify and address key drivers.
- Process Automation: Architect and implement automation solutions for analytical processes, including experimentation readouts and self-service analytics, improving scalability and efficiency.
- Data Products Development: Lead the development of high-quality data product requirements, dashboard scopes, and automated reporting solutions.
- Visionary Collaboration: Partner with Business Intelligence engineering teams to drive both immediate data initiatives and the long-term vision for data-driven reporting and metric frameworks.
Other
- Bachelor's or master's degree in computer science, statistics, mathematics, or a related quantitative field.
- Must permanently reside in the US full-time.
- Ability to work in a hybrid model, with 3 days per week in the office.
- Strong communication and collaboration skills.
- Ability to work with cross-functional teams and influence the planning, development, launch, and growth of Channel offerings.
