Staff GTM Data Scientist

Harnham; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Harnham is searching for a Staff Data Scientist to join their dynamic team in the United States. This senior role is pivotal in shaping the company's approach to data-driven decision making, leading experimentation and analysis efforts while mentoring junior data scientists. Candidates should have over 6 years of experience, deep expertise in A/B testing, and exceptional skills in SQL and either Python or R. Join a company that's at an inflection point in its data usage and make a substantial impact across departments.

Qualifications

• 6+ years in applied data science, economics, or product analytics.
• Deep experience in A/B testing methodology including sequential testing.
• Experience with cloud data warehouses.

Responsibilities

• Own and advance the company's experimentation roadmap.
• Design and analyze complex A/B tests and multivariate experiments.
• Build and govern a unified KPI framework.

Skills

A/B testing methodology

Advanced SQL

Python or R for statistical modelling

Exceptional communication skills

Data-driven decision making

Tools

Snowflake

dbt

Airflow

Databricks

Job description

We're partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role sitting at the heart of their product and go-to-market strategy. This isn't a reporting role or a dashboard-builder position. It's for someone who can drive a genuine shift toward data-driven decision making across the organisation, and who has the technical depth and communication skills to bring leadership along with them.

What You'll Be Doing

• Owning and advancing the company's experimentation roadmap, focusing on high-leverage questions around customer workflows, churn risk, and long-term value
• Designing and analysing complex A/B tests, multivariate experiments, and Bayesian methods to assess the real impact of product and business 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 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

What We're Looking For

This is a senior individual contributor role reporting to the Director of GTM Data, acting as a strategic thought partner across Product, Marketing, Finance, and Engineering. The company is at an inflection point in how it uses data, and this person will be central to shaping that.

• 6+ years in applied data science, economics, or product analytics
• 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 maturing

Nice to have:

• Experience with dbt, Airflow, or Databricks
• Background in SaaS and product data science