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Senior Data Scientist

Hyderabad, Telangāna, India

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Build machine learning training and inference pipelines at scale

  • Build cutting-edge ML capabilities such as LLMs and computer vision models

  • Lead data science and model development techniques for the team

  • Adopt industry best practices and tools to improve how the team builds models

From the employer’s posting
building foundational machine learning training and inference pipelines at scale
Build cutting-edge capabilities utilizing machine learning and data science (e.g., large language models, computer vision models, advanced ad & content targeting, etc.)
Lead data science and model development techniques for the team.
Leverage industry best practices and tools to continually improve teams' ability to build machine learning models.

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in statistics, mathematics, economics, or another quantitative field
  • 5-8 years building data science or statistical models
  • Strong grasp of modern ML approaches such as GBDT, CNN, LSTM and transformers
  • Proficiency in Python or R
  • Experience with deep learning, NLP, LLMs, reinforcement learning, or causal inference
Qualification wording
BA/BS in statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required.
5- 8 years of experience building data science/statistical models
Strong understanding of modern ML approaches (GBDT, CNN, LSTM, GRU, HRNN, transformers
Proficiency in programming languages such as Python or R.
Experience with Deep Learning, NLP, LLMs, Reinforcement Learning, Causal Inference.
Education & alternatives
What to Bring: · BA/BS in statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus · 5- 8 years of experience building data science/statistical models (Multivariate regression, Time Series Model, XGBoost, Causal inference etc.)

Tools in this posting

  • Python
  • R
  • Spark
  • Keras
  • PyTorch
  • scikit-learn
  • TensorFlow
  • XGBoost
Source — Tool mentions in context
· Experience with Deep Learning, NLP, LLMs, Reinforcement Learning, Causal Inference. Good knowledge of ML tools and frameworks (TensorFlow, Keras, pyTorch, scikit-learn, Spark,...). · Proficiency in programming languages such as Python or R. · Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring).
· Strong understanding of modern ML approaches (GBDT, CNN, LSTM, GRU, HRNN, transformers, siamese neural networks, variational auto-encoders, ...). · Experience with Deep Learning, NLP, LLMs, Reinforcement Learning, Causal Inference. Good knowledge of ML tools and frameworks (TensorFlow, Keras, pyTorch, scikit-learn, Spark,...). · Proficiency in programming languages such as Python or R.
· BA/BS in statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus · 5- 8 years of experience building data science/statistical models (Multivariate regression, Time Series Model, XGBoost, Causal inference etc.) · Strong understanding of modern ML approaches (GBDT, CNN, LSTM, GRU, HRNN, transformers, siamese neural networks, variational auto-encoders, ...).

About Warner Bros. Discovery

Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer.

In the employer’s words · Read in context

Posting record

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First seen by us
Sep 23, 2026 · 35 days ago
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Last seen by us
Oct 29, 2026

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  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

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Job description

View original posting ↗

Storytelling is, and will always be, the heart of what we do at Skydance.


Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled.


Here, you’ll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day.


If you’re energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we’d be thrilled to welcome you aboard. LET’S GO!


ㅤ


Senior Data Scientist , Hyderabad 


About Warner Bros. Discovery: 

Warner Bros. Discovery, a premier global media and entertainment company, offers 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: 

The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape. 


Roles & Responsibilities: 

· The role will focus on building out machine learning solutions for WBD’s Data and Analytics organization. Primary focus will be on unlocking machine learning opportunities and building foundational machine learning training and inference pipelines at scale. 

· You have a deep understanding of different types of data, metrics and KPIs. You will lead by example and define the best practices, will set high standards for the entire team and for the rest of the organization. You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments. 

· Build cutting-edge capabilities utilizing machine learning and data science (e.g., large language models, computer vision models, advanced ad & content targeting, etc.) 

· Lead data science and model development techniques for the team. 

· Leverage industry best practices and tools to continually improve teams' ability to build machine learning models. 

 

What to Bring: 

· BA/BS in statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus 

· 5- 8 years of experience building data science/statistical models (Multivariate regression, Time Series Model, XGBoost, Causal inference etc.) 

· Strong understanding of modern ML approaches (GBDT, CNN, LSTM, GRU, HRNN, transformers, siamese neural networks, variational auto-encoders, ...). 

· Experience with Deep Learning, NLP, LLMs, Reinforcement Learning, Causal Inference. Good knowledge of ML tools and frameworks (TensorFlow, Keras, pyTorch, scikit-learn, Spark,...). 

· Proficiency in programming languages such as Python or R. 

· Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring). 

· Good understanding of operating machine learning solutions at scale, covering the end-to-end ML workflow. 

· Strong interpersonal skills with the ability to motivate, collaborate and influence 

· Ability to deliver on multiple projects and meet tight deadlines 

· Ability to effectively influence and communicate cross-functionally with all level 


What We Offer: 

  • A Great Place to work. 
  • Equal opportunity employer 
  • Fast track growth opportunities  

About Skydance

Skydance is a next-generation global media and entertainment company, comprised of three business segments: Studios, Direct-to-Consumer, and TV Media. Skydance's portfolio unites legendary brands, including Paramount, Warner Bros., HBO and HBO Max, Paramount+, Pluto TV, CBS, CNN, CBS Sports, TNT Sports, Nickelodeon, Cartoon Network, MTV, Food Network, BET, HGTV, and Comedy Central.


Some Important Details

We embrace 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. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable 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.

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Location & working pattern

Hyderabad, Telangāna, India

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Work authorization
Some Important Details We embrace 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. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable 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.

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