Your New Role: The Principal, AdTech Data Scientist reports to the Sr Director, CALS and leads the design, development, and deployment of advanced data science models that power WBD’s global advertising ecosystem. This role supports the strategy and execution of ML/AI frameworks for forecasting, optimization, personalization, and audience intelligence. By combining deep technical expertise with strategic influence, the Principal transforms data into predictive insights that maximize monetization, enhance targeting precision, and enable automation across converged linear and digital platforms. Acting as a hands-on data scientist, the 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 Principal drives the evolution of legacy data systems into modular, cost-optimized platforms. They lead rationalization to eliminate redundancy, embed observability and lineage, and establish automation 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. Provide guidance and share best practices within the team Engage externally with AI/ML communities, vendors, and partners to influence industry direction and accelerate adoption of next-generation methods. Qualifications & Experience ·Education: Advanced degree in Computer Science, Statistics, Applied Mathematics, Operations Research, or related technical discipline required. Advanced specialization in optimization, machine learning, or large-scale AI systems strongly preferred. ·Data Science Leadership: 12+ 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). ·Advanced Modeling Expertise: Deep knowledge of statistical optimization, stochastic modeling, reinforcement learning, deep learning, and causal inference applied to advertising, media, or high-scale transactional domains. ·Scalable ML Systems: Demonstrated experience building cloud-native ML/AI pipelines (AWS SageMaker, Bedrock, Databricks, TensorFlow, PyTorch, Spark ML) with focus on performance, cost efficiency, and scalability. ·Optimization & Yield: Expertise in 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. ·Operational Excellence: Skilled in MLOps, 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. ·Industry Engagement: 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 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.

About Warner Bros. Discovery

Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world’s most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines WarnerMedia’s premium entertainment, sports and news assets with Discovery’s leading non-fiction and international entertainment and sports businesses. ****Please be aware of recruitment scams by individuals posing as employers and encouraging candidates to apply for, interview and/or accept nonexistent job opportunities as a means to solicit personal information or money. The online scammers have become much more sophisticated in their attempts to lure victims. Employment opportunities and job offers at Warner Bros. Discovery will always come from our Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. WBD does not extend job offers via email or on any other messaging tools to individuals to whom we have not made prior contact. Our email domain is @wbd.com