Founding Forward Deployed Data Scientist

Career Mentors, LLC • San Francisco, CA

1d • $200,000 - $250,000 • Onsite

About The Position

Our client is building an AI-native product engineer that helps teams understand what to build next. Instead of relying on instinct or fragmented analysis, their platform automatically synthesizes user behavior and feedback to produce a clear, prioritized roadmap for product teams.
They are hiring a Founding Forward Deployed Data Scientist to work directly with customers, extract high-leverage insights, and build the analytics foundation that powers their product.
This is a true early-stage role (team of 5) with significant ownership, autonomy, and upside.
This role is ideal for someone who has considered founding a company but wants meaningful equity and product impact without taking full founder risk.

Requirements

• 4+ years of hands-on data science experience in high-caliber product analytics teams
• Advanced Python and SQL (pandas, NumPy, StatsModels, Scikit-learn)
• Strong warehouse fluency (BigQuery, Snowflake)
• Deep expertise in experimentation and causal inference:
• A/B testing
• Difference-in-differences
• Propensity scoring
• Matched markets
• Statistical power analysis
• Experience with data sampling techniques:
• Stratified sampling
• Bootstrapping
• Extrapolation
• Practical experience with LLMs:
• Prompt engineering
• Embeddings
• Hallucination evaluation
• Proven track record of independently building and shipping analytics frameworks
• Clear communicator comfortable presenting to executive audiences
• Self-starter who thrives in ambiguity and delivers end-to-end

Nice To Haves

• Experience at a B2B SaaS or high-growth technology company preferred

Responsibilities

• Work directly with customers to understand workflows and analytics needs
• Own product analytics from insight generation through implementation
• Build and ship analytics frameworks adopted by product and growth teams
• Design and evaluate experimentation frameworks (A/B tests, diff-in-diff, matched markets, etc.)
• Apply causal inference techniques to real-world product decisions
• Develop internal tooling in Python (automation, APIs, workflow acceleration)
• Leverage LLMs (prompt engineering, embeddings, hallucination evaluation) to enhance product intelligence
• Deliver executive-level insight readouts to product, design, and engineering teams
• Operate independently in an ambiguous, fast-moving startup environment

What This Job Offers

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