Warner Bros. Discovery
Senior Staff Data Scientist
Warner Bros. Discovery, San Francisco, California, United States, 94199
Overview
We are seeking an exceptional Senior Staff Data Scientist to lead the design, development, and scaling of our experimentation science platform, with a 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
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 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 Qualifications
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.
How We Get Things Done 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 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 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, 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 disclose compensation or a range for roles where required. Base pay is one component of Warner Bros. Discovery’s total compensation package. Pay Range: $159,600.00 - $296,400.00 per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. Benefits include health insurance, wellness programs, retirement savings, paid holidays and leave. If you have an arrest or conviction record, your application will be considered in accordance with applicable law.
Compensation and Location San Francisco, CA
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Key Responsibilities
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 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 Qualifications
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.
How We Get Things Done 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 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 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, 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 disclose compensation or a range for roles where required. Base pay is one component of Warner Bros. Discovery’s total compensation package. Pay Range: $159,600.00 - $296,400.00 per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. Benefits include health insurance, wellness programs, retirement savings, paid holidays and leave. If you have an arrest or conviction record, your application will be considered in accordance with applicable law.
Compensation and Location San Francisco, CA
#J-18808-Ljbffr