Senior Product Data Scientist
Courtyard by Marriott
PythonSQLTableau
Senior Product Data Scientist
BetterUp
full-time
Posted on:
Location: California, Illinois, New York, North Carolina • 🇺🇸 United States
Visit company websiteSalary
💰 $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
