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Wispr FlowWispr FlowSan Francisco, CA

Product Data Scientist

Owns product and growth analytics for a voice-first consumer AI platform. Partners with PMs and engineers on metrics, experimentation, and insights to drive product decisions.

175k – 195k
On-site5+ YOEData Science

About the role

What You'll Do

  • Build and own core product and growth metrics: activation, retention, engagement, and conversion — with particular depth on the nuances of a cross-platform, PLG consumer product
  • Proactively surface insights — patterns in usage cohorts, feature adoption signals, product funnel drop-offs, engagement inflection points
  • Partner with product managers and engineers across our core product surface areas to define and answer the questions that drive decisions
  • Analyze A/B experiments end-to-end — from hypothesis formation through to causal interpretation and recommendations
  • Collaborate closely with analytics engineers on our dbt + ClickHouse stack to ensure metric definitions and data models are clean, consistent, and align with business and product processes

What We're Looking For

  • 5+ years of experience in data science or quantitative analytics, with meaningful time spent at a consumer SaaS or consumer tech company
  • Experience with experimentation — from hypothesis design through analysis, with the ability to build frameworks that let the product team run and learn from tests at scale
  • Strong SQL skills and fluency working within a modern data stack (dbt, ClickHouse, Snowflake, or similar); Python proficiency for analysis and modeling
  • Experience embedded with product teams, using sound judgment in ambiguous situations to shape priorities and deliver actionable analysis
  • Clear communicator who can make complex analysis legible to non-technical stakeholders

Skills

SQLPythondbtClickHouseSnowflakeA/B TestingExperimentationData ModelingCohort AnalysisFunnel Analysis

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