Customer Data Scientist - Experimentation

About the role

Customer Data Scientist - Experimentation Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build 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 G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com. 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. Amplitude’s 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 inclusion—one focused on psychological safety, empathy, and human connection—that 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 world's 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. You'll 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. By applying for this job, you acknowledge that Amplitude processes your personal data in accordance with the Amplitude Applicant Privacy Notice. Staying Safe - Protect Yourself From Recruitment Fraud We are aware of individuals and entities fraudulently representing themselves as Amplitude recruiters and/or hiring managers. Amplitude will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Amplitude recruiting team will come from an @amplitude.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. London, UK

Key responsibilities

• check_circleCollaborate with the team on day-to-day project tasks
• check_circleLearn tools and processes used by the organization
• check_circleDocument work and participate in team meetings
• check_circleSupport quality checks and continuous improvement

Requirements

• check_circleServe as the primary experimentation expert throughout customer evaluations, guiding technical discussions from discovery through proof of concept.
• check_circlePartner directly with data scientists, engineers, and technical leaders to advise on experiment design, statistical methodology, measurement frameworks, and experimentation architecture.
• check_circleHelp customers build scalable and trustworthy experimentation programs by educating teams on best practices in experimentation, metric development, variance reduction, and results interpretation.
• check_circleCollaborate closely with Account Executives, Solutions Engineers, Product Managers, and Engineers to accelerate customer success and bring valuable field insights back into product development.
• check_circleCreate repeatable frameworks, technical content, and enablement materials that strengthen experimentation expertise across customers and internal teams.
• check_circleYou have built, scaled, or supported experimentation programs within a product-led technology company and understand both the technical and organizational challenges involved.
• check_circleYou have experience working with experimentation platforms such as Statsig, Eppo, Optimizely, LaunchDarkly, or similar technologies.
• check_circleYou are comfortable engaging with highly technical audiences and can effectively communicate complex statistical concepts to data scientists, engineers, executives, and business stakeholders.
• check_circleYou enjoy translating technical depth into practical business outcomes and helping organizations make better product decisions through experimentation.
• check_circleYou have experience influencing product strategy, technical roadmaps, or best practices based on customer needs and market feedback.
• check_circle5+ years of experience in Data Science, Experimentation, Analytics, Applied Statistics, or a related field with a strong foundation in experimental design and causal inference.
• check_circleHands-on experience designing, running, and analyzing A/B tests and applying advanced experimentation methodologies, including variance reduction, holdouts, sequential testing, or related techniques.

Skills & keywords

Benefits & perks

• check_circleMentorship
• check_circleCertificate of completion
• check_circleFlexible work arrangement where applicable