Job Description

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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 datadriven decision making across marketing, product, content across channels.

As a senior leader, you will work closely with crossfunctional 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 datadriven decisionmaking, you will play a pivotal role in helping us achieve our mission of providing everyone with access to lifelong mental health support.

Location

• Hybrid in our San Francisco office, working 3 days per week from the office
• Remotely in New York City, New York
• Remotely in Seattle, Washington

Candidates must currently permanently reside in the US fulltime and be based in these specific cities.

What you will do

• Strategic Leadership: Drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities.
• CrossFunctional Partnership: Provide thought leadership by collaborating with crossfunctional 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 selfservice analytics, improving scalability and efficiency.
• Data Products Development: Lead the development of highquality 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 longterm vision for datadriven 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 wellrounded analytics experience, ideally with exposure to Digital Health, highgrowth 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 eventbased deep dives and advanced analytics.
• Bachelor's or master's degree in computer science, statistics, mathematics, or a related quantitative field.

Compensation

The anticipated new hire base salary range for this fulltime position is $140,400$224,250 + equity + benefits.

Benefits

Were 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

Headspace exists to provide every person access to lifelong mental health support. We combine evidencebased content, clinical care, and innovative technology to help millions of members around the world get support thats effective, personalized, and truly accessible whenever and wherever they need it.

Diversity, Equity, Inclusion and Belonging

Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.

Equal Opportunity Employer

As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.

Disability Accommodations

Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace.

Headspace participates in the EVerify Program.

Contact

To learn more about the role or to apply, please visit Headspaces careers page.

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