At a Glance
- Tasks: Lead experimentation initiatives and guide customers in optimising their product strategies.
- Company: Join Amplitude, a top AI analytics platform trusted by major brands.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment focused on diversity, inclusion, and continuous learning.
- Why this job: Make a real impact by helping companies enhance their products through data-driven insights.
- Qualifications: 5+ years in Data Science with expertise in experimentation and statistical analysis.
The predicted salary is between 60000 - 80000 £ per year.
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.
Responsibilities
- 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.
Qualifications
- 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.
Minimum Requirements
- 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.
As set forth in Amplitude's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Customer Data Scientist employer: Amplitude
Amplitude is an exceptional employer that prioritises employee growth and inclusivity, fostering a culture where diverse perspectives drive innovation. With a commitment to psychological safety and a collaborative work environment, employees are empowered to thrive while working on cutting-edge AI analytics solutions. The opportunity to work remotely from vibrant locations like London or Dubai adds unique advantages, allowing for a dynamic work-life balance in a fast-paced, rewarding role.
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We think this is how you could land Customer Data Scientist
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We think you need these skills to ace Customer Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Amplitude, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Amplitude. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Amplitude
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Amplitude!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
