Staff Data Scientist, Data Products

This role will lead product measurement and analytics efforts that shape decisions across data-driven offerings. The position partners closely with engineering and cross-functional stakeholders to define success metrics, strengthen instrumentation, and translate usage patterns into clear business recommendations. It is also responsible for evaluating new data products for analytical soundness, privacy considerations, and overall product health., * Own product measurement strategies to define success metrics and guide decisions.

• Collaborate with engineering on event instrumentation for user tracking and privacy compliance.
• Conduct detailed analyses of product adoption and user engagement to derive actionable insights.
• Create and maintain dashboards for product health visibility for teams and leaders.
• Translate complex usage data into clear recommendations for stakeholders.
• Lead analytical strategies for new compensation and workforce data products.
• Evaluate data products for analytical defensibility and privacy preservation.

• 8+ years in product analytics, data science, or a related field with software product experience.
• Proficiency in AI-assisted development tools for enhancing analysis and product development.
• Familiarity with AI and BI innovations to enhance data products and user experiences.
• Proven track record leading complex, cross-functional projects with significant impact.
• Deep expertise in SQL and proficiency in Python, R, or similar languages.
• Advanced knowledge of statistical methods, data modeling, and analytical validation.
• Experience designing event schemas and dashboards with BI tools like Mixpanel or Tableau.

• Competitive compensation with a geo-neutral pay approach in the US.
• Equity to share in the company’s success.
• Flexible vacation policy with additional leave options.
• Comprehensive medical, dental, and vision coverage with significant premium support.
• Paid parental leave and life insurance coverage.
• 401(k) plan available for future savings.
• Fully remote work model for better work-life balance.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification-your background could be exactly what this team needs.