Amplitude
Technology
CustomerDataScientist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Customer Data Scientist at Amplitude. Skills: Experimentation, Applied statistics, Data science. Serve as experimentation expert throughout customer evaluations. Guide technical discussions from discovery through proof of”
What You'll Achieve.
Build better products; Optimize user experiences faster; Make better product decisions
Industry & Context.
Solve complex challenges; Solve complex technical challenges
What They're Looking For.
Must Have
5+ years of experience in Data Science, Experimentation, Analytics, Applied Statistics, or a related field, Hands-on experience designing, running, and analyzing A/B tests, Experience applying advanced experimentation methodologies, Proficiency in SQL, Proficiency in Python, Experience working with cloud data warehouses, Experience using Python or R for statistical analysis, experimentation, and data modeling, Experience working directly with customers, stakeholders, or cross-functional partners
Nice to Have
PhD preferred, Cloud platform certifications
What You'll Do.
Serve as experimentation expert throughout customer evaluations
Guide technical discussions from discovery through proof of
Partner with data scientists
and technical leaders
Advise on experiment design
Advise on statistical methodology
Advise on measurement frameworks
Advise on experimentation architecture
Help customers build scalable and trustworthy experimentation programs
Educate teams on best practices in experimentation
Educate teams on metric development
Educate teams on variance reduction
Educate teams on results interpretation
Collaborate with Account Executives
Collaborate with Solutions Engineers
Collaborate with Product Managers
Collaborate with Engineers
Accelerate customer success
Bring field insights back into product development
Create repeatable frameworks
Create technical content
Create enablement materials
How You'll Work.
Team & Collaboration
Customer-facing technical consulting; Partners with Sales; Partners with Solutions Engineering; Partners with Product; Partners with Engineering; Cross-functional partners
Communication Scope
Communicate complex statistical concepts; Communicate sophisticated concepts effectively
Full Job Description
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. About The Role & Team 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 a 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 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. 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
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