Principal Product Scientist

Headspace Sourcing

115d • $162,000 - $258,750

About The Position

The Principal Product Scientist will drive the intersection of science, data, and product strategy to deliver personalized, impactful, data-driven experiences. This role partners closely with product managers, designers, analytics, scientists and engineers to shape product direction through advanced experimentation, personalization frameworks, and applied data science. Supporting a culture of open inquiry, this role will encourage teams to fail fast, learn, and grow through experimentation that resonates with user well-being and Headspace’s mission. You’ll drive end to end scientific rigor, from hypothesis through impact, owning business outcomes and elevating our statistical rigor and experimentation standards. Your work supports our mission by making every product experience more personalized, relevant, supportive and effective.

Requirements

• 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.

Nice To Haves

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

Responsibilities

• 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.
• Build, evaluate, and scale models for personalization and recommendation systems, across global markets or demographics.
• 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.
• 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.
• Mentor product managers, analysts, and engineers on scientific thinking and experimentation.
• Communicate insights and recommendations clearly to executives and non-technical stakeholders.

Benefits

• Base salary range of $162,000 - $258,750 + equity + benefits.
• Comprehensive healthcare coverage.
• Monthly wellness stipend.
• Retirement savings match.
• Lifetime Headspace membership.
• Generous parental leave.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree