Customer Data Scientist

Overview

Amplitude is the leading AI analytics platform, helping 4,700+ customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. Our platform embeds AI Agents to help teams analyze, test, and optimize user experiences faster. We are recognized in G2 and focus on product, data, and marketing teams.

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.

• 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 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.

• You have built, scaled, or supported experimentation programs within a product-led technology company and understand both technical and organizational challenges.
• You have experience with experimentation platforms such as Statsig, Eppo, Optimizely, Launch Darkly, 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 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 with cloud data warehouses such as Snowflake, Big Query, 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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