Sr. Principal AdTech Data Scientist

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 bringing our characters to life, the bringing them to your living rooms and the 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.

Your New Role:

The Sr. Principal, AdTech Data Scientist reports to the VP, Data Science & AI for AdTech and leads the design, development, and deployment of advanced data science models that power WBD’s global advertising ecosystem. This role owns the strategy and execution of ML/AI frameworks for forecasting, optimization, personalization, and audience intelligence. By combining deep technicalexpertisewith strategic influence, the Sr. Principal transforms data into predictive insights that maximize monetization, enhance targeting precision, and enable automation across converged linear and digital platforms.

Acting as bothhands-on scientist and thought leader, the Sr. Principal partners with engineering, product, and sales to embed machine learning into the core of WBD’s advertising workflows.

Your Role Accountabilities:

Advanced Modeling & AI Strategy

Define the vision and roadmap for machine learning, optimization, and AI systems that drive forecasting accuracy, yield optimization, and audience targeting.

Develop novel models in time-series forecasting, reinforcement learning, optimization, and causal inference tailored for advertising use cases.

Experimentation & Innovation–

Design and oversee experimentation frameworks, A/B testing, and measurement systems to evaluate model impact.

Advance audience intelligence, personalization, and cross-platform reach/frequency models.

Explore emerging AI/ML approaches to maintain WBD’s competitive edge in advertising innovation.

Modernization & Optimization of Data Platforms
The Senior Principal drives the evolution of legacy data systems into modular, cost-optimized platforms. They lead rationalization toeliminateredundancy, embed observability and lineage, andestablishautomation practices that improve performance, reliability, and efficiency.

Leadership & Strategic Partnership

Act as a hands-on technical expert and advisor, translating data science into actionable strategies for sales, product, and operations stakeholders.

Mentor data scientists and engineers, building best practices across global teams.

Engage externally with AI/ML communities, vendors, and partners to influence industry direction and accelerate adoption of next-generation methods.

Qualifications & Experience

Education:PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, or related technical disciplinerequired. Postdoctoral research or advanced specialization in optimization, machine learning, or large-scale AI systemsstronglypreferred.

DataScience Leadership:15+ years of applied data science experience, with proven success in deploying ML models into production at enterprise scale (including MIPS-scale or equivalent high-throughput systems).

AdvancedModeling Expertise:Deep knowledge of statistical optimization, stochastic modeling, reinforcement learning, deep learning, and causal inference applied to advertising, media, or high-scale transactional domains.

ScalableML Systems:Demonstratedexperience building cloud-native ML/AI pipelines (AWS SageMaker, Bedrock, Databricks, TensorFlow,PyTorch, Spark ML) with focus on performance, cost efficiency, and scalability.

Optimization& Yield:Expertisein statistical optimization and decision science techniques for forecasting, yield management, and pricing algorithms in ad-tech or related industries.

Experimentation& Measurement:Strong background in A/B testing, multi-armed bandits, attribution modeling, and quantifying model-driven business impact.

OperationalExcellence:Skilled inMLOps, CI/CD for ML, model governance, bias detection, and observability frameworks.

Communication& Influence:Proven ability to articulate advanced data science concepts to C-level executives and influence product, sales, and engineering stakeholders.

IndustryEngagement:Active participation in ML/AI communities, publications, patents, or open-source contributions highly valued

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 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, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.