Principal Data Scientist

Job Title: Principal Data Scientist Company: Warner Bros. Discovery Job Category: Data Science Roles & Responsibilities: As a Principal Data Scientist, you will play a pivotal role in architecting, developing, and deploying high\-impact machine learning and data science solutions across Warner Bros. Discovery’s global businesses. This role is ideal for a seasoned technical leader with 14–16 years of total experience, including 10–12 years of deep, hands\-on experience in applied data science, machine learning, and statistical modeling. You will translate complex business problems into scalable analytical solutions—leveraging predictive modeling, optimization, experimentation, NLP, computer vision, and modern ML engineering practices. You will lead end\-to\-end development of ML models, champion scientific rigor, and ensure robust operationalization through modern MLOps practices. Experience in the Media \& Entertainment sector—content, streaming, audience behavior, ad intelligence, or metadata systems—is a significant plus. This is a high\-impact role requiring strong technical expertise, business acumen, problem\-solving skills, and the ability to guide cross functional partners across Product, Engineering, Technology, and Business domains. * Design, build, and scale advanced machine learning models across predictive analytics, NLP, CV, forecasting, optimization, and recommender systems. * Apply strong statistical foundations—hypothesis testing, probability modeling, causal inference, and experiment design—to solve complex business problems. * Develop interpretable and explainable ML models, ensuring scientific rigor, reproducibility, and operational robustness. * Conduct feature engineering, model selection, hyperparameter tuning, and validation using modern ML frameworks. * Translate ambiguous problems into structured analytic approaches with measurable impact. * Build production\-grade ML pipelines integrating with WBD’s data ecosystem (Snowflake, AWS, GCP, Databricks). * Implement CI/CD, model monitoring, drift detection, alerting, and model performance governance. * Contribute to the design of feature stores, experimentation platforms, and ML observability frameworks. * Work closely with data engineering and platform teams to ensure scalable, reliable model deployment. 3\. Applied Data Science Delivery for High\-Value Business Problems Lead delivery of ML solutions for domains such as: * Partner with senior leaders across Streaming, Technology, Product, Content, and Marketing. * Present complex modeling results clearly to non\-technical audiences, influencing business decisions with data\-driven insights. * Shape and guide analytical roadmaps aligned to enterprise priorities. 5\. Leadership, Collaboration \& Mentoring * Mentor data scientists and ML engineers, elevating scientific rigor and best practices across the team. * Lead project teams in experimentation, modeling, evaluation, and productionization. * Promote knowledge sharing, documentation standards, and internal communities of practice. * Champion responsible AI, model governance, and ethical data usage across engagements. We embrace 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. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable law. Work Location: Greater Hyderabad Area Availability: Full time

Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator\-first, audience\-focused, tech\-forward, globally scaled. Qualifications \& Experiences: * Master’s degree (or Ph.D. preferred) in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related fields. * 14–16 years of total experience, with 10–12 years in Data Science, ML, and advanced analytics. * Strong hands\-on expertise in: + Predictive modeling, optimization, deep learning, NLP, and CV + Python, SQL, PyTorch/TensorFlow, Scikit\-learn, ML frameworks + ML Ops, model deployment, monitoring, and observability + Statistical modeling, experiment design, Bayesian methods + Cloud platforms (AWS/GCP/Snowflake) * Demonstrated track record of delivering business impact through ML solutions in large\-scale environments. * Strong communication skills with demonstrable ability to influence cross\-functional teams. * Experience in Media \& Entertainment, streaming, digital advertising, metadata, or audience intelligence. * Hands\-on exposure to foundation models, LLMs, embeddings, or generative AI. * Experience with video intelligence, OCR/CV pipelines, or content metadata engines. * Publications, patents, or conference\-level contributions in ML/AI. Key Skills: Data Science, Python, SQL, Statistics, Machine Learning Salary: Not disclosed