Staff Data Scientist

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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," 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: 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 company combines Warner Media's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com . Meet Our Team: 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. Roles and responsibilities: The Staff Data Scientist will serve as a individual contributor driving the design, experimentation, and delivery of advanced machine learning solutions for media intelligence and localization use cases. This role defines modeling approaches that advance the state of the art, and turns research into scalable, production-ready ML systems with measurable product and customer impact. The ideal candidate brings deep hands-on expertise in applied machine learning, statistical analysis, and evaluation methodologies and drive innovation through data-informed decision-making. Your Role Accountabilities: Lead end-to-end design and delivery of production-grade Gen AI based Media processing systems that supports language localization capabilities like Closed Captioning, Language translation, or Dubbing. Lead data science experimentation by designing experiments, defining success metrics, iterating on model improvements, and transitioning validated approaches into scalable production ML pipelines. Establish and operate robust production evaluation frameworks, covering model quality, drift detection, inference performance, and system-level metrics with and without ground truth. Lead, mentor, and grow a team of Applied data scientist, Machine Learning Engineers, setting clear technical direction, delivery standards, and career development paths. Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers What to Bring 5+ years total experience of building production grade machine learning solutions Experience in designing machine learning driven, large-scale distributed systems with large scale customer base Good practical knowledge in modern machine learning lifecycle. Ability to technically collaborate with partners Good understanding of machine learning platform Preferred: PhD, or Master's degree in CS, CE, ML or related fields. 3+ hands-on experience in any one of following fields: Computer Vision, ASR, Translation or Text-to-Speech technologies. Working experience with global teams Experience in patents or publications at top-tier peer-reviewed conferences or journals

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