Senior Customer Data Scientist - Experimentation

United States Digital Space LLC; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

the company is seeking a Customer Data Scientist to join our AI analytics platform in a senior capacity. You will fuse deep experimentation expertise with applied statistics and customer-facing consulting to help leading product teams evaluate, adopt, and scale modern experimentation programs.

This highly technical role partners with Sales, Solutions Engineering, Product, and Engineering to establish best practices, measurement frameworks, and scalable experimentation architectures that drive

Qualifications

• 5+ years of experience in Data Science, Experimentation, Analytics, Applied Statistics, or a related field.
• 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

Data Science

Experimentation

Analytics

Applied Statistics

Python

SQL

A/B testing

Experiment design

Cloud data warehouses

Tools

Statsig

Eppo

Optimizely

LaunchDarkly

Job description

the company is seeking a Customer Data Scientist to join our AI analytics platform in a senior capacity. You will fuse deep experimentation expertise with applied statistics and customer-facing consulting to help leading product teams evaluate, adopt, and scale modern experimentation programs.

This highly technical role partners with Sales, Solutions Engineering, Product, and Engineering to establish best practices, measurement frameworks, and scalable experimentation architectures that drive