Senior Staff Data Scientist

Welcome to Warner Bros. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career‑defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. We are seeking an exceptional Senior Staff Data Scientist to lead the design, development, and scaling of our experimentation science platform, with a particular focus on multi‑armed bandit (MAB) algorithms, adaptive experimentation, and automated decisioning. This is a high‑impact, hands‑on science leadership role that will shape how we test, learn, and optimize customer experiences across millions of users worldwide.
As a senior technical leader, you will set the vision for experimentation science, drive algorithmic innovation, mentor other scientists, and partner closely with engineering, product, and analytics teams to scale our platform from hundreds to thousands of concurrent experiments and bandits.
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.
CUPED, regression adjustment, quantile regression) for use in production pipelines.
Lead the development and deployment of multi‑armed bandit methods (e.g., 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.
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.
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.
~ Proficiency in Python, SQL, and modern data science libraries (e.g., Experience with experimentation platforms (e.g., Track record of publishing or presenting in relevant scientific conferences or journals.
Championing Inclusion at WBD
Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Other rewards may include annual bonuses, short‑ and long‑term incentives, and program‑specific awards. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
If you’re a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
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