Staff Data Scientist

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.Staff Data Scientist – Job descriptionMeet our team:The Data & Audience organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system.  Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape.Roles & Responsibilities:As a Staff Data Scientist, you will play a pivotal role in shaping the future of machine learning at WBD. You'll design and deploy high-impact models, establish best practices across the end-to-end ML lifecycle, and provide technical leadership for some of our most strategic initiatives. This is a senior IC role: you will be hands-on with modeling, while also influencing direction, mentoring peers, and partnering with engineering and product teams to move solutions from prototype to production.Design and deploy ML solutions that will help improve the user experience and operational efficiency across streaming products.Own the ML lifecycle end-to-end: from problem framing, feature engineering, and model training through to inference, monitoring, and iteration.Drive technical excellence by defining modeling standards, mentoring other data scientists, and advocating best practices in reproducibility, experimentation, and causal inference.Advance foundational ML capabilities (e.g., scalable training/inference pipelines, reusable modeling frameworks, evaluation/monitoring systems).Explore cutting-edge techniques including large language models, computer vision, deep learning, and reinforcement learning — and apply them to real-world WBD challenges.Partner cross-functionally with Analytics Engineering, Data Engineering, and Product and Content teams to ensure ML systems are robust, interpretable, and business-aligned.What to Bring:BA/BS in statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus10 + years of experience building data science/statistical models (Multivariate regression, Time Series Model, XGBoost, Causal inference etc.)Strong understanding of modern ML approaches (GBDT, CNN, LSTM, GRU, HRNN, transformers, siamese neural networks, variational auto-encoders, ...).Experience with Deep Learning, NLP, LLMs, Reinforcement Learning, Causal Inference. Good knowledge of ML tools and frameworks (TensorFlow, Keras, pyTorch, scikit-learn, Spark,...).Proficiency in programming languages such as Python or R.Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring).Good understanding of operating machine learning solutions at scale, covering the end-to-end ML workflow.Strong interpersonal skills with the ability to motivate, collaborate and influenceAbility to deliver on multiple projects and meet tight deadlinesAbility to effectively influence and communicate cross-functionally with all levelsHow 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 WBDWarner 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.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.