Staff Data Scientist (Growth & ML), Hyderabad

Overview

Staff Data Scientist (Growth & ML) on the Growth Engineering team for Max, the streaming app from Warner Bros. Discovery, working to boost engagement, grow active subscribers, and optimize 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 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.

What you'll need

• M.S. or B.S. in Computer Science, Statistics, Data Science, Quant or a 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.

Details

• Location: Hyderabad.