Warner Bros. Discovery · 8 hours ago
Senior Staff Data Scientist
New York, NY
Full-time
Hybrid
Senior Level, Lead/Staff
$160K/yr - $296K/yr
10+ years expWarner Bros. Discovery is a company that brings iconic content and beloved brands to life. They are seeking an exceptional Senior Staff Data Scientist to lead the design, development, and scaling of their experimentation science platform, focusing on multi-armed bandit algorithms and automated decisioning.
AdvertisingBroadcastingDigital EntertainmentDigital MediaFilm ProductionMedia and EntertainmentNewsPublishing
Responsibilities
Scale Experimentation Science
Architect and lead the design of scalable statistical and algorithmic frameworks to support large-scale A/B testing, multivariate testing, and adaptive experiments across multiple surfaces and business lines
Develop robust variance-reduction and bias-correction methods (e.g., CUPED, regression adjustment, quantile regression) for use in production pipelines
Advance Bandit Algorithms
Lead the development and deployment of multi-armed bandit methods (e.g., epsilon-greedy, Thompson Sampling, UCB) for artwork optimization, personalization, and whole-page optimization
Design frameworks for off-policy evaluation (OPE), variance reduction, and regret minimization at scale
Platform & Infrastructure Partnership
Collaborate with experimentation platform engineers to productionize algorithms and build reusable libraries, APIs, and dashboards that automate experiment setup, analysis, and decisioning
Ensure statistical rigor, interpretability, and operational reliability of deployed systems
Thought Leadership & Mentorship
Serve as a technical thought leader across experimentation, influencing roadmaps and best practices across Data Science, Engineering, and Product organizations
Mentor data scientists and analysts on advanced experimentation methods, algorithmic design, and impact delivery
Qualification
Required
Ph.D. or equivalent advanced degree in Statistics, Computer Science, Econometrics, or related field (or comparable industry experience)
10+ years of experience applying statistical and machine learning methods to large-scale online experimentation
Deep expertise in experimental design and, variance reduction methods
Hands-on experience implementing and scaling multi-armed bandit algorithms in production environments
Proficiency in Python, SQL, and modern data science libraries (e.g., NumPy, SciPy, scikit-learn, PyMC, statsmodels)
Strong communication skills with the ability to influence cross-functional partners and explain complex concepts to non-technical stakeholders
Preferred
Deep expertise in causal inference and adaptive experimentation
Experience with experimentation platforms (e.g., Optimizely, internal experimentation frameworks) at large scale
Track record of publishing or presenting in relevant scientific conferences or journals
Experience in media, streaming, or personalization contexts is a plus
Benefits
Health insurance coverage
An employee wellness program
Life and disability insurance
A retirement savings plan
Paid holidays and sick time
Vacation
Company
Warner Bros. Discovery
Warner Bros.
10001+ employees
H1B Sponsorship
Warner Bros. Discovery has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (32)
2024 (34)
2023 (47)
2022 (72)
2021 (82)
2020 (30)
Funding
Current Stage
Public CompanyTotal Funding
$17.5BKey Investors
JP Morgan
2025-12-05Acquired
2025-06-09Post Ipo Debt· $17.5B
2005-07-15IPO
Leadership Team
David Zaslav
President and CEO
Mark Thompson
CEO
Recent News
2025-12-31
Company data provided by crunchbase