Staff Data Scientist (Growth & ML), Hyderabad

About the Role The Staff Data Scientist (Growth & ML) will research, design, and build machine learning systems to drive customer growth for Max, the Warner Bros. Discovery streaming app. The role sits within the Growth Engineering team, which includes ML engineers, data scientists, and software engineers, and aims to boost engagement and grow active subscribers. The team works across customer interactions to develop data products that enhance customer experience and optimise for retention and lifetime value. Key Responsibilities Research, design, experiment with, and build high-impact end-to-end machine learning systems for customer growth Contribute to 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 organisation 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 the research community by writing or publishing blogs, articles, or papers in respected scientific conferences Standardize and promote best practices for using AI-assisted tools to improve team-level productivity and code quality Required Experience & Qualifications M.S. or B.S. in Computer Science, Statistics, Data Science, Quantitative, or a related field 9+ years of experience 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 Workplace Hyderabad Benefits & Perks A great place to work Fast track growth opportunities About the Company It combines Warner Media's premium entertainment, sports, and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. #J-18808-Ljbffr Global Sports Jobs Limited