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Amplitude is a leading AI analytics platform serving over 4,700 customers including Atlassian, Burger King, NBCUniversal, and Square. Following the acquisition of Statsig, the company now offers a comprehensive experimentation and product analytics platform.
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 is a highly strategic and technical role that partners closely with Sales, Solutions Engineering, Product, and Engineering teams.
Key responsibilities include:
- 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
Required qualifications:
- 5+ years of experience in Data Science, Experimentation, Analytics, Applied Statistics, or related field with 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, and sequential testing
- Strong proficiency in SQL and Python with 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
- Willingness to travel approximately 10-25% of the time to meet with customers and support strategic engagements
Ideal candidates will have built, scaled, or supported experimentation programs within product-led technology companies, experience with experimentation platforms such as Statsig, Eppo, Optimizely, or LaunchDarkly, and the ability to communicate complex statistical concepts to diverse audiences.
