Staff Data Scientist (Growth & ML), Hyderabad
Warner Bros. Discovery
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 (Growth & ML), Hyderabad
About Warner Bros. Discovery:
Warner Bros. Discovery is a premier global media and entertainment company, offering audiences the world's most differentiated and complete portfolio of content, brands, and franchises across television, film, streaming, and gaming. The new 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:
Max is the “One to Watch” Streaming App from Warner Bros Discovery featuring the largest and the critically acclaimed catalog from brands like HBO, CNN, Discovery, A24, Food Network and many more. At Max, the Growth Engineering team comprises ML engineers, data scientists, and software engineers. Our goal is to boost engagement and grow the number of active subscribers. We work across all customer interactions to develop data products that enhance the customer experience and optimize for retention and lifetime value.
Roles & Responsibilities:
- Research, design, experiment with and build high-impact end-to-end machine learning systems for customer growth
- Contribute and drive the design of scalable ML solutions in production
- Coordinate the work of applied scientists and machine learning engineers providing research guidance and mentorship
- Promote and role-model best practices of data science, engineering, and communication throughout the organization
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