Founding Forward Deployed Data Scientist
About The Position
Our client is an AI product engineer that watches every user session and listens to every piece of feedback — support tickets, sales calls, and conversations — and automatically turns that signal into clear, prioritized product decisions. Instead of digging through events and scattered feedback, product teams get a complete picture of what to build next and why, with the ability to launch PRs or run experiments directly from insights. They are building for AI-native product teams and closing the loop between user behavior and code. This is not a reporting or support analytics role. As a Founding Forward Deployed Data Scientist, you will own product analytics end-to-end — from raw user behavior to executive-level insights that directly shape what gets built. You’ll work directly with founders, customers, and product engineers, often embedded in high-stakes product decisions. You will build analytics frameworks, causal measurement systems, and internal tools that scale with the product — and you’ll ship them. If you prefer clean specs, narrow scopes, or only running experiments designed by others, this role is not for you.
Requirements
- 4+ years of product analytics experience at high-growth, consumer-facing software companies
- Owned analytics for a user-facing product (not internal/support analytics)
- Proven experience delivering insights directly to executives and/or customers
- Strong product intuition — you generate hypotheses, not just metrics
- Advanced Python (tooling, automation, APIs — not just notebooks)
- Strong SQL and statistical foundations
- Deep experience with causal inference and measurement: A/B testing, diff-in-diff, propensity scoring, matched markets
- Statistical power analysis and sampling techniques
- Authorized to work in the U.S.
- Willing to work in-office in San Francisco 4 days/week
- Excited to join a very early-stage startup and take real ownership
Nice To Haves
- Built analytics frameworks or tools adopted by product or growth teams
- Experience at early-stage startups (Seed–Series B)
- Hands-on experience with LLMs (prompting, embeddings, hallucination evaluation)
- CS or deeply technical degree
- Experience in high-quality product analytics teams at companies like: Airtable, Figma, Notion, Slack, HubSpot, Atlassian Meta, Uber, Airbnb (with startup or 0→1 experience)
Responsibilities
- Own analytics for user-facing product features from discovery to impact
- Synthesize behavioral data and qualitative feedback into clear product recommendations
- Work directly with customers and executives to understand needs and deliver insights
- Design and run causal measurement: A/B tests, diff-in-diff, matched markets, power analysis
- Build and ship analytics frameworks and internal tools used by product and growth teams
- Partner closely with engineering to connect insights → product changes → experiments
- Operate comfortably in ambiguity and take full ownership of outcomes
Benefits
- Competitive compensation + meaningful equity
- Small, high-bar team with real ownership
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
