[Remote] Staff Product Data Scientist

Note: The job is a remote job and is open to candidates in USA. Harnham is a fast-growing SaaS company seeking a Staff Data Scientist for a senior, high-visibility role embedded in their product organization. The role involves owning the company's experimentation roadmap and designing complex A/B tests to measure the impact of product changes while mentoring junior data scientists.

Responsibilities

• Owning and advancing the company's experimentation roadmap, focused on high-leverage product questions around customer workflows, churn risk, and long-term value
• Designing and analysing complex A/B tests, multivariate experiments, and Bayesian methods to measure the real impact of product changes
• Applying causal inference techniques (DiD, synthetic control, propensity score matching, instrumental variables) where traditional RCTs aren't feasible
• Building and governing a unified KPI framework that connects product health metrics to meaningful business outcomes
• Partnering with Data Engineering to build scalable, self-serve experimentation tooling and reusable analytical frameworks
• Translating complex statistical findings into clear, compelling narratives for VP and C-suite audiences
• Mentoring and training junior and mid-level data scientists on experimental design and causal modelling

Skills

• 6+ years in applied data science, economics, or product analytics
• Proven expertise in causal inference: DiD, PSM, instrumental variables, quasi-experimentation
• Deep experience in A/B testing methodology including sequential testing, CUPED, variance reduction, and network effects
• Advanced SQL and Python or R for statistical modelling
• Experience with Snowflake or similar cloud data warehouses
• Exceptional communication skills, comfortable presenting to and influencing C-suite stakeholders
• Demonstrated ability to drive change in organisations where experimentation culture is still developing
• Experience with dbt, Airflow, or Databricks
• Background in SaaS and product data science

Company Overview

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