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About the Role
Rigorous statistical analysis is core to all experimentation products at Optimizely. You will articulate how we maintain statistical accuracy, triage statistical inference questions, and educate stakeholders on statistics concepts. You will also collaborate with product and engineering teams to build new statistics/ML features and partner with academic experts to explore new innovations.
Responsibilities
- Collaborate with product managers and engineering teams to design and implement new statistical and machine learning features.
- Conduct rigorous testing and validation of new statistical methods and ensure seamless integration into the 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 Optimizely’s offerings.
- Propose and prototype advanced statistical techniques to solve challenging business problems.
- 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.
- 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.
- Represent Optimizely at conferences and industry events, showcasing expertise in experimental design and statistical analysis.
- Conduct customer calls to explain how statistical accuracy is maintained across Optimizely’s 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 the organization, fostering a culture of rigorous data-driven decision-making.
- Collaborate with marketing teams to showcase Optimizely’s statistical capabilities in external communications.
Requirements
- 3+ years of industry or educating experience with experimentation, data science, analytics, etc.
- Understanding of and ability to explain experimentation, randomized control trials, and inference, particularly aspects of high throughput testing such as multiple hypothesis testing, sequential testing, reinforcement learning, robustness, data mining of experiments.
- Demonstrable experience of at least one of the following subjects: Classical statistical inference (fixed horizon tests, sequential tests); Bayesian statistical inference; Causal inference (potential outcome framework, randomized controlled trials, observational studies) and experiment design; Reinforcement learning (e.g., multiarmed bandit).
- Demonstrable working experience of python and SQL, (knowing R is also helpful).
- Experience collaborating on applied statistical research or designing commercial statistical features/applications.
- Experience with AI applications.
Skills
- Experimentation
- Data Science
- Analytics
- Statistical inference
- Randomized control trials
- High throughput testing
- Multiple hypothesis testing
- Sequential testing
- Reinforcement learning
- Robustness
- Data mining of experiments
- Classical statistical inference
- Bayesian statistical inference
- Causal inference
- Experiment design
- Multiarmed bandit
- Python
- SQL
- R
- AI applications
- Communicating Effectively
- Driving Continuous Improvement
- Driving for Results
- Interacting with People at Different Levels
Education Level
- Advanced degree in Statistics, Computer Science or a closely related field such as bioinformatics, econometrics, economics or applied mathematics
About the Company
- Optimizely is a leader in MarTech, providing AI-powered content creation, world-class CMS, and an experimentation platform used by over 10,000 brands including H&M, PayPal, and Zoom.
- The company employs over 1,600 people across 12 global offices.
- Optimizers are described as curious, collaborative, and human, fostering real conversations and big ideas.
Equal Opportunity
- Optimizely is committed to a diverse and inclusive workplace.
- Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.