Senior Statistician

Salary: £63,000 - 103,000 per year

Requirements:

• 3+ years of industry or educating experience with experimentation, data science, analytics, or a related field
• Understanding of and ability to explain experimentation, randomized control trials, and inference, particularly high-throughput testing topics such as multiple hypothesis testing, sequential testing, reinforcement learning, robustness, and data mining of experiments
• Demonstrable experience in at least one of the following: classical statistical inference (fixed horizon tests, sequential tests), Bayesian statistical inference, causal inference (potential outcome framework, randomized controlled trials, observational studies) and experiment design, or reinforcement learning (e.g., multi-armed bandit)
• Demonstrable working experience with Python and SQL; knowledge of R is also helpful
• Experience collaborating on applied statistical research or designing commercial statistical features or applications
• Experience with AI applications
• Advanced degree in Statistics, Computer Science, or a closely related field such as bioinformatics, econometrics, economics, or applied mathematics

Responsibilities:

• Collaborate with product managers and engineering teams to design and implement new statistical and machine learning features across our product suite
• Conduct rigorous testing and validation of new statistical methods and ensure seamless integration into our platform
• Analyze product performance data to optimize existing features and provide actionable recommendations for improvement
• Leverage AI agents to deploy new statistical capabilities
• Partner with academic and industry researchers to explore cutting-edge statistical methods and machine learning innovations
• Identify emerging trends in experimentation and statistics that could enhance our offerings
• Propose and prototype advanced statistical techniques to solve challenging business problems faced by our customers
• Develop and enforce statistical standards and best practices for all experimentation processes
• Monitor and evaluate statistical algorithms to ensure accuracy, reliability, and scalability
• Provide internal stakeholders with guidance on statistical compliance and methodologies to safeguard the credibility of experiment results
• Develop and deliver educational content on statistics, including webinars, blog posts, white papers, and public speaking engagements
• Simplify complex statistical concepts for both technical and non-technical audiences to promote understanding of experimentation best practices
• Represent us at conferences and industry events, showcasing expertise in experimental design and statistical analysis
• Conduct customer calls to explain how statistical accuracy is maintained across our experimentation products
• Triage and resolve customer inquiries related to statistical inference and experimentation methodologies
• Assist customers in designing statistically valid experiments tailored to their needs and objectives
• Partner with sales, customer success, and onboarding teams to offer statistical expertise during customer onboarding and key engagements
• Serve as a statistical advocate within our organization, fostering a culture of rigorous data-driven decision-making
• Collaborate with marketing teams to showcase our statistical capabilities in external communications

Technologies:

• AI
• AI Agents
• CMS
• Machine Learning
• Marketing
• Python
• SQL

More:

We are Optimizely, a global MarTech company focused on AI-powered content creation, CMS, and experimentation products that help modern marketers work more effectively. Our platform is used by 10,000+ brands, including H&M, PayPal, and Zoom, and we are recognized by Gartner, Forrester, and IDC as a leader in MarTech. We have 1,600+ Optimizers across 12 global offices, and we value curiosity, collaboration, and genuine communication. We are committed to a diverse and inclusive workplace and are an equal opportunity employer.

last updated 35 week of 2026