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Motive Software · 1 month ago

Senior Product Data Scientist

San Francisco, CA

Full-time

Hybrid

Senior Level

$186K/yr - $256K/yr

5+ years exp

Motive Software is a company focused on human transformation, offering a unique work experience that emphasizes personal development and meaningful work. The Senior Product Data Scientist will partner with product teams to leverage data and advanced analytics to drive product innovation and optimize user experiences across their Human Transformation Platform.

AnalyticsArtificial Intelligence (AI)Machine LearningNatural Language ProcessingPredictive AnalyticsSoftwareText Analytics

Responsibilities

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

Qualification

SQLB2B SaaS analyticsGenAI applicationsLookMLPythonAmplitudeStatistical analysisA/B testingCommunication skillsStrategic thinking

Required

5+ years in SQL with strong statistical analysis coding/programming skills

Proven experience in B2B SaaS product analytics, including user behavior analysis, funnel optimization, and cohort analysis

Ability to 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

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

Preferred

LookML and Python experience preferred

Hands-on experience with tools like Amplitude and experimentation platforms

Curiosity and hands-on experience with GenAI applications in analytics—whether through prompt engineering, LLM-powered data exploration, or automated insight generation

Demonstrated ability to connect data insights to business outcomes, think like a product owner, and make effective prioritization decisions in fast-moving environments

Exceptional ability to distill complex analytical work into clear, actionable recommendations for both technical and non-technical audiences

Self-starter approach with experience scaling analytics capabilities, defining measurement frameworks, and establishing best practices in growing organizations

Benefits

Access to BetterUp coaching; one for you and one for a friend or family member

A competitive compensation plan with opportunity for advancement

Medical, dental, and vision insurance

Flexible paid time off

Per year: + All federal/statutory holidays observed + 4 BetterUp Inner Workdays (https://www.betterup.co/inner-work) + 5 Volunteer Days to give back + Learning and Development stipend + Company wide Summer & Winter breaks

Year-round charitable contribution of your choice on behalf of BetterUp

401(k) self contribution