Senior Staff Data Scientist - Machine Learning & Personalization

Staff Data Scientist (Data & Audience Platform Team), 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. 

What You’ll Do 

• 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 

• Mentor and provide technical guidance to junior Machine Learning Engineers in the team 

• Navigate existing ML research and apply it to solve industry problems 

• Contribute back to research community by writing/publishing blogs, articles or papers in respected scientific conferences 

What You’ll Need 

• M.S or B.S.in a Computer Science/Statistics/Data Science/Quant or related field 

• 9+ years of building products with Machine Learning and Personalization 

• Deep understanding of statistics and ML fundamentals 

• Expert proficiency with ML-frameworks such as TensorFlow, PyTorch, XGBoost, Scikit-learn etc. 

• Production experience implementing, maintaining, and improving machine learning pipelines and models at scale in Python, Java, Scala, or similar languages 

• Deep knowledge in multiple ML methodologies, such as Recommendations & Search, Causal Machine Learning, Interpretable ML, Multi-Armed Bandits, Reinforcement Learning and Constrained Optimization 

• Proven leadership skills, such as aligning complex technical decisions across teams, mentoring, coordinating cross-functional relationships with non-technical stakeholders, managing expectations, and navigating competing priorities 

• Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to scientists, engineers, and product audiences 

• Self-motivated, growth-oriented, and driven to pursue excellence across teams 

• Standardize and promote best practices for using AI-assisted tools to improve team-level productivity and code quality. 

What We Offer:  

• A Great Place to work  

• Equal opportunity employer  

• Fast track growth opportunities