Staff Data Scientist (Growth & ML), Hyderabad

Warner Bros. Discovery; Hyderabad; On-site; INR 2,000,000 - 3,000,000; Full time

Benefits offered by this job

Great work environment

Fast track growth opportunities

Equal opportunity employer

Job summary

Warner Bros. Discovery in Hyderabad is searching for a Staff Data Scientist to enhance customer growth through innovative machine learning systems. The role involves designing scalable ML solutions, mentoring junior engineers, and driving best practices within the data science community.

The ideal candidate will have a profound understanding of machine learning methodologies and must hold a Master’s or Bachelor's in a related field with at least 9 years of experience. This position offers an opportunity to shape the future of data-driven decision-making in a creative industry.

Qualifications

• 9+ years of experience with Machine Learning and Personalization.
• Deep understanding of statistics and ML fundamentals.
• Expert proficiency with ML frameworks.

Responsibilities

• Design and build high-impact machine learning systems.
• Mentor junior Machine Learning Engineers.
• Promote best practices of data science throughout the organization.

Skills

Machine Learning

Statistics

Python

TensorFlow

Team Leadership

Education

M.S. or B.S. in Computer Science or related field

Tools

TensorFlow

PyTorch

Scikit-learn

XGBoost

Job description

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next.

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

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 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.

How We Get Things Done

This is probably the most important. Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.