Senior Product Data Scientist at BetterUp
United States, , USA -
Full Time


Start Date

Immediate

Expiry Date

16 Nov, 25

Salary

256000.0

Posted On

16 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Human Potential, Product Innovation

Industry

Information Technology/IT

Description

JOIN US AND WE PROMISE YOU THE MOST INTENSE AND FULFILLING YEARS OF YOUR CAREER, DOING LIFE-CHANGING WORK IN A FUN, INVENTIVE, SOULFUL CULTURE.

If that sounds exciting—and the job description below feels like a fit—we really should start talking.

Responsibilities

WHAT YOU’LL DO:

  • Partner with Product squads to design measurement strategies, define success metrics, and ensure data-driven decision making across the product development lifecycle
  • Collaborate with Engineering to instrument new product features and build datasets that enable deep user behavior analysis and product performance monitoring
  • Leverage GenAI tools to accelerate insight generation, automate routine analyses, and explore innovative approaches to understanding unstructured user feedback and behavioral patterns
  • Champion data literacy and AI-powered analytics across product teams, training partners on both traditional self-service tools and emerging GenAI capabilities for hypothesis generation and insight discovery
  • Own and evolve product analytics infrastructure in Looker, including building self-serve dashboards, defining key dimensions, and ensuring data quality across product metrics
  • Design and analyze A/B tests and product experiments, translating results into clear recommendations for product optimization and feature development
  • Conduct deep-dive analyses to understand user journeys, identify friction points, and uncover growth opportunities that directly inform product roadmaps
  • Build standardized KPI frameworks and automated reporting to monitor product ecosystem health, user engagement, and feature adoption
  • Translate complex analytical findings into compelling narratives for cross-functional stakeholders and executive leadership
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