Customer Data Scientist (Statsig)

About the Role & Team

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 a Customer Data Scientist, you will combine deep experimentation expertise, applied statistics, and customer‑facing technical consulting to help sophisticated product and engineering organizations evaluate, adopt, and scale modern experimentation programs.

This highly strategic and technical role 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.

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.

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 modeling.
• Experience working directly with customers, stakeholders, or cross‑functional partners to solve complex technical challenges and communicate sophisticated concepts effectively.
• 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.

Travel

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.

Benefits

• Excellent Medical, Dental and Vision insurance coverages, with 100% employer‑paid premiums for employee Medical, Dental, Vision on select plans.
• 401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annually.
• Flexible time off, paid holidays, and more.
• Generous stipends to spend on what matters most, whether that’s wellness, commuter transit/parking, learning and development, or new hire home office equipment.
• Excellent parental benefits including 12 weeks of paid parental leave, fertility and adoption support, and backup child care support.
• Mental health and wellness benefits including no cost employee access to Modern Health coaching and therapy sessions.
• Employee Stock Purchase Program (ESPP).

Equal Employment Opportunity

The company provides equal employment opportunities (EEO). All applicants are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.