Staff Data Scientist

Warner Bros. Discovery

Data Scientist at Warner Bros. Discovery focusing on ML solutions for media intelligence and localization.

Posted 6/18/2026full-timeBangalore • 🇮🇳 IndiaLeadWebsite

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

The Staff Data Scientist will serve as a individual contributor driving the design, experimentation, and delivery of advanced machine learning solutions for media intelligence and localization use cases.
This role defines modeling approaches that advance the state of the art, and turns research into scalable, production-ready ML systems with measurable product and customer impact.
Lead end-to-end design and delivery of production-grade Gen AI based Media processing systems that supports language localization capabilities like Closed Captioning, Language translation, or Dubbing.
Lead data science experimentation by designing experiments, defining success metrics, iterating on model improvements, and transitioning validated approaches into scalable production ML pipelines.
Establish and operate robust production evaluation frameworks, covering model quality, drift detection, inference performance, and system-level metrics with and without ground truth.
Lead, mentor, and grow a team of Applied data scientist, Machine Learning Engineers, setting clear technical direction, delivery standards, and career development paths.
Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers

Requirements

What you’ll need

5+ years total experience of building production grade machine learning solutions.
Experience in designing machine learning driven, large-scale distributed systems with large scale customer base
Good practical knowledge in modern machine learning lifecycle.
Ability to technically collaborate with partners
Good understanding of machine learning platform
Preferred: PhD, or Master's degree in CS, CE, ML or related fields.
3+ hands-on experience in any one of following fields: Computer Vision, ASR, Translation or Text-to-Speech technologies.
Working experience with global teams
Experience in patents or publications at top-tier peer-reviewed conferences or journals

Benefits

Comp & perks

A Great Place to work.
Challenging ML problems in Media Domain.
Equal opportunity employer
Fast track growth opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningGen AIproduction-grade systemsmodeling approachesdata science experimentationmodel improvementsML pipelinesmodel qualitydrift detectioninference performance

Soft Skills

leadershipmentoringcollaborationcommunicationteam motivationdata-driven innovationadvocacy for customers

Certifications

PhDMaster's degree