Customer Data Scientist

About the Role

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. This is a highly strategic and technical role that partners closely with Sales, Solutions Engineering, Product, and Engineering teams.

What You Will Do

• 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.
• Develop and maintain a deep understanding of Amplitude's products and services, including experimentation and analytics capabilities.
• Stay up-to-date with industry trends and emerging technologies in data science, AI, and product development.
• Provide input on product roadmap and development priorities based on customer feedback and market analysis.
• Participate in internal knowledge-sharing initiatives to promote cross-functional collaboration and expertise.

What We Are Looking For

• Experience building, scaling, or supporting experimentation programs within a product-led technology company.
• Knowledge of experimentation platforms such as Statsig, Eppo, Optimizely, LaunchDarkly, or similar technologies.
• Strong understanding of statistical concepts, including hypothesis testing, confidence intervals, and regression analysis.
• Excellent communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
• Experience working with data scientists, engineers, and technical leaders to drive business outcomes with data.
• Strong problem-solving skills, with the ability to analyze complex problems and develop creative solutions.
• Experience with data analysis and visualization tools, such as Excel, Tableau, or Power BI.

Nice to Have

• Experience with programming languages such as Python, R, or SQL.
• Knowledge of cloud-based data platforms, including AWS, GCP, or Azure.
• Experience with machine learning algorithms and techniques, including supervised and unsupervised learning.
• Certification in data science, statistics, or a related field.

Benefits and Perks

• Competitive compensation package, including salary, equity, and performance-based bonuses.
• Comprehensive health insurance, including medical, dental, and vision coverage.
• Generous PTO policy, including vacation days, sick leave, and holidays.
• Remote work stipend, including reimbursement for home office expenses and Internet connectivity.
• Professional development opportunities, including training, conference attendance, and education reimbursement.
• Access to cutting-edge technologies and tools, including Amplitude's AI analytics platform.

• To stand out as a candidate, be prepared to showcase your technical expertise in experimentation and data analysis, as well as your ability to communicate complex concepts to non-technical stakeholders.
• Develop a strong understanding of Amplitude's products and services, including experimentation and analytics capabilities, to demonstrate your passion for the company and role.
• Highlight your experience working with data scientists, engineers, and technical leaders to drive business outcomes with data, and be prepared to provide specific examples of your accomplishments.
• Consider creating a portfolio of your work, including examples of experimentation programs you've developed and results you've achieved, to demonstrate your skills and expertise.
• Be prepared to negotiate your salary and benefits package, and do your research on the market rate for Customer Data Scientists in the industry.
• Look for red flags such as lack of clarity on the role or responsibilities, or unclear expectations for communication and collaboration with the team.
• Prepare thoughtful questions to ask the interviewer, such as 'What are the biggest challenges facing the team right now?' or 'Can you tell me more about the company culture and values?'