Welcome to Warner Bros. Discovery... the stuff dreams are made of.
Who We Are...
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. 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. Here you are supported, here you are celebrated, here you can thrive.
Who We Are...
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. 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. Here you are supported, here you are celebrated, here you can thrive.
About the Role
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.
Key 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.
Basic Qualifications
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 causal inference, experimental design, variance reduction methods, and adaptive experimentation.
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 Qualifications
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
How We Get Things Done...
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. 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 (https://careers.wbd.com/global/en/accessibility) 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. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $159,600.00 - $296,400.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. 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.
