Staff Data Scientist (data & Audience Platform Team), Hyderabad

Warner Bros Discovery Warner Bros Discovery · Media · Hyderabad, Telangāna, India · Technology

Staff Data Scientist for Warner Bros. Discovery's Max streaming app, focusing on customer growth through ML systems. The role involves researching, designing, and building end-to-end ML systems, contributing to scalable ML solutions, and mentoring junior engineers. Requires strong experience in ML fundamentals, production pipelines, and various ML methodologies like recommendations, causal ML, and RL.

What you'd actually do

  1. Research, design, experiment with and build high-impact end-to-end machine learning systems for customer growth
  2. Contribute and drive the design of scalable ML solutions in production
  3. Coordinate the work of applied scientists and machine learning engineers providing research guidance and mentorship
  4. Promote and role-model best practices of data science, engineering, and communication throughout the organization
  5. Mentor and provide technical guidance to junior Machine Learning Engineers in the team

Skills

Required

  • 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

Nice to have

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

What the JD emphasized

  • building products with Machine Learning and Personalization
  • implementing, maintaining, and improving machine learning pipelines and models at scale
  • Deep knowledge in multiple ML methodologies, such as Recommendations & Search, Causal Machine Learning, Interpretable ML, Multi-Armed Bandits, Reinforcement Learning and Constrained Optimization

Other signals

  • customer growth
  • engagement
  • retention
  • lifetime value
  • personalization