Customer Data Scientist Experimentation

Amplitude is the leading AI analytics platform helping over 4700 customersincluding Atlassian Burger King NBCUniversal and Squarebuild better products and digital experiences. With powerful AI Agents embedded across our platform teams can analyze test and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2s Winter 2026 Report Amplitude is the best-in-class solution for product data and marketing teams. Learn more at .

As an organization we deliver for our customers by living our values. We operate from a place of humility take ownership of problems and successes approach challenges with a growth mindset and put our customers at the center of everything we do.

Amplitudes Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products improves the ability to solve complex problems and drives more powerful solutions. We strive to create an environment of inclusionone focused on psychological safety empathy and human connectionthat will allow employees of all backgrounds to thrive.

Amplitude 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 worlds 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 Amplitude 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.

Youll 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.

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Required Experience:

IC

Employment Type : Full Time
Experience: years
Vacancy: 1