Staff Data Scientist

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.