As a 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.

Requirements

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 modeling.
• 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.

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