Senior Statistician

Optimizely•St. George, UT

25d•$117,000 - $199,000

About The Position

The Senior Statistician supports the statistical rigor of Optimizely’s experimentation products. The role explains how the products maintain statistical accuracy, responds to customer questions about statistical inference, and educates internal and external audiences about foundational and emerging statistical concepts. It also collaborates with product and engineering teams to develop statistical and machine-learning features, and partners with academic and industry researchers to identify new methods and innovations for Optimizely’s products.

Requirements

At least 3 years of industry or educational experience in experimentation, data science, analytics, or a related area.
Understand and be able to explain experimentation, randomized controlled 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, including fixed-horizon or sequential tests; Bayesian statistical inference; causal inference and experiment design, including potential outcome frameworks, randomized controlled trials, or observational studies; or reinforcement learning, such as multi-armed bandits.
Working experience with Python and SQL.
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.

Nice To Haves

Knowledge of R.

Responsibilities

Collaborate with product managers and engineering teams to design and implement statistical and machine-learning features across Optimizely’s product suite.
Test and validate statistical methods and support their integration into the platform.
Analyze product performance data and recommend improvements to existing features.
Use AI agents to deploy new statistical capabilities.
Partner with academic and industry researchers to explore statistical methods and machine-learning innovations.
Identify emerging trends in experimentation and statistics that could enhance Optimizely’s offerings.
Propose and prototype statistical techniques to address customer business problems.
Develop and enforce statistical standards and best practices for experimentation.
Monitor and evaluate statistical algorithms for accuracy, reliability, and scalability.
Advise internal stakeholders on statistical compliance and methodologies.
Create and deliver educational content, including webinars, blog posts, white papers, and public speaking engagements.
Explain complex statistical concepts to technical and non-technical audiences.
Represent Optimizely at conferences and industry events.
Explain statistical accuracy in Optimizely’s experimentation products to customers and triage inquiries about inference and experimentation methods.
Help customers design statistically valid experiments suited to their needs and objectives.
Provide statistical expertise to sales, customer success, and onboarding teams during onboarding and key engagements.
Promote rigorous, data-driven decision-making within the organization.
Collaborate with marketing teams to communicate Optimizely’s statistical capabilities externally.