Experimentation Leadership

• Design and drive large-scale experimentation strategies (A/B, multivariate, sequential testing) to evaluate product features and customer experiences.
• Develop and evangelize best practices for causal inference, test design, and statistical rigor.

Personalization & Data Science

• Build, evaluate, and scale models for personalization and recommendation systems, across global markets or demographics.
• Ethical/Responsible AI: partner with ethics, data privacy partners to ensure personalization is inclusive and avoids bias.
• Translate scientific insights into practical frameworks that improve customer engagement, retention, and monetization, influencing strategic roadmap initiatives and driving member outcomes.

Product Science Strategy

• Partner with product leadership to define hypotheses, prioritize experiments, and align scientific outcomes with business goals.
• Bridge product management and data science by framing the right questions, interpreting complex results, and guiding strategic product bets, balancing speed, rigor and real-world results.
• Opportunity to shape product science at Headspace; You will guide the team through bold experimentation, learning fast and scaling what works.

Cross-Functional Influence

• Mentor product managers, analysts, and engineers on scientific thinking and experimentation.
• Communicate insights and recommendations clearly to executives and non-technical stakeholders.

Required Skills

• 7+ years of progressive experience in product science, experimentation, applied data science, or product analytics.
• Deep expertise in statistical methods, experimentation design, and causal inference.
• Demonstrated leadership and proven track record of building innovative personalization/recommendation systems or applied ML in consumer or enterprise products.
• Strong product intuition with the ability to translate data into impactful product decisions.
• Hands-on experience with SQL, Python/R, and experimentation platforms.
• Background in product management or close partnership with PMs.
• Advanced degree in Statistics, Computer Science, Economics, or related quantitative field.
• Strong communication and effective collaboration; skilled in translating complex scientific insights into clear, actionable recommendations for executives and non-technical audiences.

Preferred Skills

• Experience in the digital health is preferred, especially where science, behavior change, and technology intersect

Impact of the Role

• This is a senior, high-leverage role responsible for setting the scientific bar for experimentation and personalization. The Principal Product Scientist ensures that product strategy is grounded in rigorous science, driving measurable improvements in customer experience and business outcomes.

Location

• We are currently hiring this role remotely in the US and Hybrid for San Francisco (SF) and Los Angeles (LA). Candidates must permanently reside in the US full-time.
• For candidates with a primary residence in the greater SF and LA areas, 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 flexibility of remote work for the rest of the week.