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Lead Data Scientist

Lead Data Scientist

GhostSan Francisco, CA, United States
3 days ago
Job type
  • Full-time
Job description

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This range is provided by Ghost. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$225,000.00 / yr - $275,000.00 / yr

Direct message the job poster from Ghost

AI Technical Headhunter | Bringing Diversity to Tech & Unlocking Growth from ground 0 | EMEA & NAMER

Ex Meta Founders | Building an AI-native customer intelligence platform | Founding Role

After helping this team make key early hires, Ghost is once again partnering with a high-profile AI startup on a mission to reinvent how companies understand — and act on — customer behavior.

This isn’t another analytics dashboard.

This platform installs in minutes and thinks for itself — uncovering hidden behavioral patterns, prioritizing product issues, and proactively driving improvements by generating A / B tests and even opening PRs.

In short : it’s a self-optimizing feedback loop for your product.

Why should you apply?

You’d be joining a founding team of ex-Big Tech and high-growth startup leaders who have :

  • Scaled systems across tens of thousands of machines
  • Built and monetized products from $0 → $1B ARR

They’ve already raised $2.4M, with the next round targeting $5–10M — and they’re building something truly category-defining : an autonomous intelligence layer that helps software evolve itself.

The Role : Founding Senior Data Scientist / Product Analytics Lead

We’re searching for a hands‑on, product‑minded Data Scientist who wants to shape the future of intelligent systems.

This isn’t a back-office reporting role — you’ll design the measurement engine that powers real-time product decisions.

You’ll :

  • Build and deploy analytics frameworks adopted by product and growth teams
  • Design experiments (A / B, diff‑in‑diff, matched markets) that drive measurable impact
  • Collaborate deeply with engineering and product to influence direction
  • Work directly with LLMs on evaluation, measurement, and feedback loops

    • What You Bring

  • Minimum of 6+ years in product analytics or data science (high‑growth tech, ideally B2B SaaS)
  • PHD in Applied Mathematics, Physics or any other relevant field
  • Advanced Python & SQL skills (pandas, NumPy, StatsModels, Scikit-learn)
  • Deep expertise in causal inference, sampling, and experimentation design
  • Real LLM experience — prompt engineering, embeddings, hallucination risk evaluation
  • Strong communicator who can simplify complexity and tell a data‑driven story
  • True product intuition — you’ve moved real metrics like retention, conversion, or churn

    • $200K – $250K base + up to 3% equity

    Health insurance and catered lunch

    1 WFH day per week (San Francisco-based)

    Values

  • They obsess over customers — diving deep to understand real workflows, pain points, and what truly drives impact.
  • They work like it’s a marathon — pushing hard with intensity and purpose, but never at the expense of sustainability.
  • They’re detail‑driven where it counts — sweating the critical details while moving fast on everything else.
  • They live in the future — building for the next generation of AI‑native companies and operating one step ahead of them.

    • If the idea of AI that learns from the real world excites you — and you want to help architect software that improves itself — this is your chance to build at the frontier.

    Quote of the day :

    “Great engineers ship features. Great data scientists teach software to think.” 👻

    #J-18808-Ljbffr

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    Lead Data Scientist • San Francisco, CA, United States