Customer Data Scientist

United States Digital Space LLC; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

United States Digital Space LLC is seeking a highly skilled Customer Data Scientist to lead experimentation initiatives across client evaluations and technical engagements. You will work with data scientists, engineers, and product leaders to design robust experiments, analyze results, and translate insights into strategic product decisions.

You will educate customer teams on best practices, help scale experimentation programs, and contribute to shaping our platform roadmap through field

Qualifications

• 5+ years of experience in Data Science, Experimentation, Analytics, Applied Statistics, or a related field with a strong foundation in experimental design and causal inference.
• Hands-on experience designing, running, and analyzing A/B tests and applying advanced experimentation methodologies, including variance reduction, holdouts, sequential testing, or related techniques.
• Strong proficiency in SQL and Python and experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
• Experience using Python or R for statistical analysis, experimentation, and data modelling.
• Experience working directly with customers, stakeholders, or cross‑functional partners to solve complex technical challenges and communicate sophisticated concepts effectively.
• You are willing and able to travel approximately 10‑25% of the time to meet with customers, support strategic engagements, and participate in team and industry events.

Responsibilities

• Serve as the primary experimentation expert throughout customer evaluations, guiding technical discussions from discovery through proof of concept.
• Partner directly with data scientists, engineers, and technical leaders to advise on experiment design, statistical methodology, measurement frameworks, and experimentation architecture.
• Help customers build scalable and trustworthy experimentation programs by educating teams on best practices in experimentation, metric development, variance reduction, and results interpretation.
• Collaborate closely with Account Executives, Solutions Engineers, Product Managers, and Engineers to accelerate customer success and bring valuable field insights back into product development.
• Create repeatable frameworks, technical content, and enablement materials that strengthen experimentation expertise across customers and internal teams.

Skills

Experimentation design

A/B testing

SQL

Python

Statistical analysis

Customer engagement

Travel readiness

Tools

Snowflake

BigQuery

Redshift

Job description

the company is on a mission to help companies build better products through data. Following our acquisition of Statsig, we now offer one of the most comprehensive experimentation and product analytics platforms on the market.

As an Customer Data Scientist, you will combine deep experimentation expertise, applied statistics, and customer-facing technical consulting to help some of the world's most sophisticated product and engineering organisations evaluate, adopt, and scale modern experimentation programs.

This is a highly strategic and technical role that partners closely with Sales, Solutions Engineering, Product, and Engineering teams. You will serve as the trusted expert on experimentation methodology, statistical rigor, and experimentation infrastructure, helping customers solve complex challenges while influencing the future direction of the company and Statsig platforms.

As an Customer Data Scientist, you will:

• Serve as the primary experimentation expert throughout customer evaluations, guiding technical discussions from discovery through proof of concept.
• Partner directly with data scientists, engineers, and technical leaders to advise on experiment design, statistical methodology, measurement frameworks, and experimentation architecture.
• Help customers build scalable and trustworthy experimentation programs by educating teams on best practices in experimentation, metric development, variance reduction, and results interpretation.
• Collaborate closely with Account Executives, Solutions Engineers, Product Managers, and Engineers to accelerate customer success and bring valuable field insights back into product development.
• Create repeatable frameworks, technical content, and enablement materials that strengthen experimentation expertise across customers and internal teams.

You'll be a great addition to the team if you have:

• You have built, scaled, or supported experimentation programs within a product-led technology company and understand both the technical and organizational challenges involved.
• You have experience working with experimentation platforms such as Statsig, Eppo, Optimizely, LaunchDarkly, or similar technologies.
• You are comfortable engaging with highly technical audiences and can effectively communicate complex statistical concepts to data scientists, engineers, executives, and business stakeholders.
• You enjoy translating technical depth into practical business outcomes and helping organizations make better product decisions through experimentation.
• You have experience influencing product strategy, technical roadmaps, or best practices based on customer needs and market feedback.

At a minimum, you need to have:

• 5+ years of experience in Data Science, Experimentation, Analytics, Applied Statistics, or a related field with a strong foundation in experimental design and causal inference.
• Hands‑on experience designing, running, and analyzing A/B tests and applying advanced experimentation methodologies, including variance reduction, holdouts, sequential testing, or related techniques.
• Strong proficiency in SQL and python and experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
• Experience using Python or R for statistical analysis, experimentation, and data modelling.
• Experience working directly with customers, stakeholders, or cross‑functional partners to solve complex technical challenges and communicate sophisticated concepts effectively.
• You are willing and able to travel approximately 10‑25% of the time to meet with customers, support strategic engagements, and participate in team and industry events.