Staff Product Data Scientist

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San Francisco, CA / $180000 - $210000 annum

INFO

Salary
SALARY:

$180000 - $210000

Location

LOCATION

San Francisco, CA

Job Type
JOB TYPE

Permanent

STAFF DATA SCIENTIST, PRODUCT - EXPERIMENTATION & CAUSAL INFERENCE

$180K - $210K BASE

REMOTE - US (EST HOURS)

Are you excited about fixing broken experimentation culture and building a best-in-class testing and causal inference framework from the ground up?

Do you want to partner directly with product and executive leadership to shape how decisions are made across a fast-growing SaaS platform?

THE COMPANY

A high-growth, venture-backed B2B SaaS company powering mission-critical workflows for thousands of businesses globally.

  • Strong product-market fit with a rapidly expanding customer base
  • Backed by top-tier investors with a clear path toward IPO
  • Leadership team deeply invested in data-driven decision making
  • Increasing focus on experimentation, product analytics, and ML-driven insights

THE ROLE

As a Staff Data Scientist, you'll act as the technical anchor for experimentation and causal inference, owning both the strategy and execution of how the company tests, learns, and makes product decisions.

  • Rebuild and scale the company's experimentation framework (A/B, Bayesian, causal methods)
  • Own the experimentation roadmap and influence product and engineering leaders
  • Design and evaluate experiments across web and in-app experiences
  • Apply causal inference methods when randomized testing isn't feasible
  • Partner with Product, Engineering, and Leadership to drive data-informed decisions
  • Train and mentor other data scientists on advanced statistical methods
  • Evaluate and implement experimentation tooling and best practices

YOUR SKILLS AND EXPERIENCE

  • 6+ years in data science or product analytics
  • Experimentation (A/B testing, Bayesian methods, sequential testing, multi-arm bandits)
  • Causal inference (DiD, propensity modeling, uplift modeling, etc.)
  • Strong product intuition within a SaaS environment:
  • Feature adoption, retention, churn, growth loops, user lifecycle
  • Advanced proficiency in Python and SQL
  • Comfortable in GitHub environments (PRs, code reviews, collaboration)

Nice to have:

  • Experience selecting or implementing experimentation platforms
  • Familiarity with modern AI tools (e.g., coding copilots, LLM-assisted workflows)

THE BENEFITS

  • Competitive base salary ($180K - $210K)
  • Fully remote (US, EST collaboration)
  • High-visibility role with direct access to executive leadership
  • Opportunity to define and scale experimentation culture company-wide
  • Work on complex product problems with real business impact

Why This Role

You won't just run experiments - you'll define how experimentation works across the company.

This is a rare opportunity to step into a role where the foundation exists but needs to be rebuilt - giving you the chance to shape the roadmap, influence leadership, and elevate the entire organization's approach to data-driven decision making.

CONTACT

Chris Williams
He/Him/His

Senior Sourcing Consultant

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