Staff Data Scientist

About the Staff Data Scientist role at Headspace:

We are looking for an experienced and strategic Staff Data Scientist to join our Data team. In this role, you will 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. You will conduct statistical analysis and develop data science solutions to drive data-driven decision making across marketing, product, content across channels.

As a senior leader, you will work closely with cross-functional partners, including Engineering, Product Design, Product Management, Product Marketing, and Operations, to influence the planning, development, launch, and growth of our Channel offerings. This is a highly visible role that requires exceptional analytical expertise, strategic thinking, and the ability to translate business priorities into impactful analytics initiatives. By driving data-driven decision-making, you will play a pivotal role in helping us achieve our mission of providing everyone with access to lifelong mental health support.

Location: This is a hybrid role located in our San Francisco office, working 3 days per week from the office. 

What you will do:

• 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. Recommend and implement actionable insights that drive measurable results.
• 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. Facilitate discussions with senior stakeholders and teams to prioritize and implement optimization strategies.
• 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. Build strong partnerships with Data Engineering, Business Intelligence, and other data stakeholders.
• 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.
• Project Ownership: Independently identify opportunities for improvement or growth, initiate projects, and lead them to successful outcomes with measurable impact.

What you will bring:

Required Skills:

• 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.
• 6+ years of experience working directly with executive leadership and product leaders, showcasing the ability to align analytics, data science with strategic goals.
• 8+ years of analytics experience focused on customer growth, engagement, and lifecycle optimization.
• 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).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.
• Bachelor's or master's degree in computer science, statistics, mathematics, or a related quantitative field.

Location: We are currently hiring this role Hybrid for San Francisco (SF). Candidates must permanently reside in the US full-time. For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You’ll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibilit