Product Data Scientist

Wispr Flow • San Francisco, CA

2d • $175,000 - $195,000

About The Position

Wispr Flow is seeking a Product Data Scientist to serve as the analytical backbone for their product and growth teams. This role involves close collaboration with Product Managers, engineers, and the analytics team to translate data into informed product decisions. Key responsibilities include defining and owning core product and growth metrics, proactively surfacing insights from user behavior, analyzing A/B experiments, and ensuring data integrity within their data stack. This is a hands-on role focused on building data intuition to drive product strategy, rather than a reporting position.

Requirements

• 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 with 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

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed