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Staff, Data Science (Hyderabad)

Warner Bros. Discovery · Hyderabad

📅 16/08/2026
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Welcome to Warner Bros. Discovery the stuff dreams are made of. Who We Are When we say, the stuff dreams are made of, were not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBDs 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 whats next From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated advantages, 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: As Staff Data Science & Applied AI, you will be a core technical contributor within the Enterprise Data & AI Solutions team supporting Warner Bros. Discoverys global portfolio including Studios, Streaming, Linear Networks, Consumer Products, Games, and Direct-to-Consumer platforms. This role is designed for a hands-on expert in applied data science who thrives at the intersection of statistical rigor, machine learning engineering, and business impact. You will translate complex business challenges into scalable analytical solutions, production-grade models, and data products that drive measurable enterprise value. You will operate as a senior individual contributor, partnering closely with Product, Engineering, and Business stakeholders to design, develop, deploy, and scale advanced analytics and AI capabilities across the organization. Key Responsibilities include: Advanced Analytics & Machine Learning Design, develop, and deploy statistical, predictive, and machine learning models across domains such as customer analytics, forecasting, personalization, optimization, and content performance. Apply advanced techniques including ensemble methods, gradient boosting, deep learning, NLP, time-series forecasting, and recommendation systems. Ensure .
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