Staff Data Scientist (Growth & ML), Hyderabad
Quick Summary
Research, design,
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 (Growth & ML), 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.
Responsibilities
~2 min read- →
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 to Bring:
- →
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.
What We Offer
~1 min readThis last bit 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.
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.
Location & Eligibility
Listing Details
- First seen
- October 12, 2026
- Last seen
- October 12, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- October 12, 2026
Signal breakdown
4 other jobs at
View all →Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.