Staff Data Scientist (Growth & ML), Hyderabad

Role overview

Staff Data Scientist (Growth & ML), Hyderabad at Warner Bros. Discovery

Responsibilities

• Contribute and drive the design of scalable ML solutions in production .

Employment details

• Location: Hyderabad [Telangāna] [India]

Application details

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

Additional role details

• Research, design, experiment with and build high-impact end-to-end machine learning systems for customer growth .
• 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 .
• Contribute back to research community by writing/publishing blogs, articles or papers in respected scientific conferences .
• 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.
• Some Important Details.