BetterUp

Senior Product Data Scientist

BetterUp

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, Illinois, New York, North Carolina

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Salary

💰 $162,000 - $256,000 per year

Job Level

Senior

Tech Stack

PythonSQL

About the role

  • 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

Requirements

  • Technical expertise: 5+ years in SQL with strong statistical analysis coding/programming skills; LookML and Python experience preferred
  • Product analytics depth: Proven experience in B2B SaaS product analytics, including user behavior analysis, funnel optimization, and cohort analysis; hands-on experience with tools like Amplitude and experimentation platforms
  • AI innovation mindset: Curiosity and hands-on experience with GenAI applications in analytics—whether through prompt engineering, LLM-powered data exploration, or automated insight generation—with enthusiasm for transforming how analytics teams operate
  • Strategic mindset: Demonstrated ability to connect data insights to business outcomes, think like a product owner, and make effective prioritization decisions in fast-moving environments
  • Communication excellence: Exceptional ability to distill complex analytical work into clear, actionable recommendations for both technical and non-technical audiences
  • Builder mentality: Self-starter approach with experience scaling analytics capabilities, defining measurement frameworks, and establishing best practices in growing organizations; excited to help shape the future of AI-enhanced product analytics