Customer Data Scientist (Experimentation)

Join Amplitude, a leading product analytics platform, as a Customer Data Scientist. In this strategic and technical role, you will leverage your expertise in experimentation, applied statistics, and customer-facing technical consulting to help top product and engineering organizations evaluate, adopt, and scale modern experimentation programs. You will collaborate closely with various teams, serve as the primary experimentation expert, and create frameworks and materials to strengthen experimentation expertise. Enjoy a generous benefits package, including flexible vacation time, wellness stipends, and equity options.

• 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.
• You enjoy translating technical depth into practical business outcomes and helping organizations make better product decisions through experimentation
• 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 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 influencing product strategy, technical roadmaps, or best practices based on customer needs and market feedback
• 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
• 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
• 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
• Hands-on experience designing, running, and analyzing A/B tests and applying advanced experimentation methodologies, including variance reduction, holdouts, sequential testing, or related techniques
• Experience working directly with customers, stakeholders, or cross-functional partners to solve complex technical challenges and communicate sophisticated concepts effectively