
Sr. Manager, Experimentation (Technical)
- New York City, NY
- $130,000-180,000 per year
- Permanent
- Full-time
- Develop statistical frameworks and processes designed to analyze experiments to enable fast, reliable and accurate decision-making for product, marketing, ads and marketing teams
- Enhance experiment analysis methodologies, including Bayesian and frequentist approaches, variance reduction techniques, and sequential testing
- Collaborate with engineering to integrate statistical algorithms and new metrics into our experimentation platform
- Develop automated solutions for experiment diagnostics, anomaly detection, and guardrail monitoring
- Stay ahead of industry advancements, improving our statistical engine with the latest methodologies and best practices
- Communicate statistical concepts to stakeholders, including product managers, analysts, and engineering teams
- Lead Center of Excellence for Experimentation – Define best practices and frameworks for trustworthy online controlled experiments; drive cultural adoption of data-driven decision making across product and engineering teams.
- 6+ years of applied experience in experimentation at an ecommerce, social network, direct to consumer, media entertainment or similar tech company
- 3+ years of experience leading a technical team and developing talent
- BA/BS in technical or quantitative disciple or significant relevant work experience
- Direct experience working with 1st and/or 3rd party experimentation platforms (i.e. in-house, Optimizely, Eppo, Stat-sig, or Similar)
- Expert knowledge of experimental design, statistics and other analytical concepts (i.e., RCTs, Frequentist and Bayesian analysis)
- Advanced coding skills to implement and automate computational methods and algorithms, related but not limited to causal inference and experimentation (Python, R, SQL, etc.)
- Interest in inferring experimentation led changes in human behavior and business impact of these changes with the help of big data
- A great storyteller and communicator that can use data to help influence product decisions and change opinions
- Combination of technical skill sets and business savvy to interface with all levels of the organization
- Past relevant experience in computational programming in either industry or academia
- Ability to work independently, multitask, and drive your own projects
- A passion for TV and movies and defining the future of streaming entertainment