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, supporting the APJ Region, 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 Amplitude and Statsig.
As a 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 outstanding 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 organisational 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 organisations 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 analysing 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 ***** % 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.
You are considered to have a disability if you have a physical or mental impairment or a medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.
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📌 Customer Data Scientist (Statsig) Sydney, Australia (New South Wales)
🏢 Amplitude
📍 New South Wales