Senior Data Scientist - Data Platform Team, Hyderabad

Warner Bros. Discovery; Hyderabad; On-site; INR 3,500,000 - 6,000,000; Full time

Benefits offered by this job

A Great Place to work

Equal opportunity employer

Fast track growth opportunities

Job summary

Warner Bros. Discovery, Hyderabad, seeks a Senior Data Scientist for the Data Platform team to drive data‑driven experiences across Max, Discovery+, Sports, Studios and News. You will design, deploy, and monitor ML models at scale, leveraging NLP, Transformers, and GenAI to build end-to-end ML pipelines.

You will collaborate with data engineers, ML engineers, product managers and business teams, mentor juniors, and apply data science best practices to production systems.

Qualifications

• 5+ years of experience building data science models and ML solutions.
• Strong foundation in statistics, ML algorithms, probability and data science fundamentals.
• Hands-on experience deploying ML models in production environments.
• Proficiency in Python, R, Scala or similar languages.
• Experience with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, XGBoost, Keras, Spark ML.

Responsibilities

• Design, develop, and deploy ML models at scale for Warner Bros. Discovery products.
• Build ML capabilities in recommendation, personalization, predictive modeling, NLP, and Generative AI.
• Develop end-to-end ML workflows including data prep, training, deployment, monitoring, and optimization.
• Research and apply modern ML techniques including Transformers, NLP, LLMs and AI-based solutions.
• Mentor junior team members and promote best practices in model development and deployment.
• Collaborate with Data Engineers, ML Engineers, Product Managers, and business teams.

Skills

Python

R

Scala

TensorFlow

PyTorch

Scikit-learn

XGBoost

Keras

Spark ML

ML pipelines

NLP

LLMs

MLOps

Distributed computing

A/B testing

Education

Bachelor’s/Master’s in Computer Science, Data Science, Statistics, Mathematics, Engineering

Tools

TensorFlow

PyTorch

Scikit-learn

XGBoost

Keras

Spark ML

Job description

Senior Data Scientist (Data Platform Team), Hyderabad

Senior Data Scientist role within Warner Bros. Discovery’s Data Platform team, focusing on data‑driven experiences for products such as Max, Discovery+, Sports, Studios, and News.

Roles & Responsibilities

• Design, develop, and deploy machine learning models and data science solutions at scale.
• Build ML capabilities using recommendation systems, personalization, predictive modeling, NLP, Generative AI, and Large Language Models (LLMs).
• Develop end‑to‑end ML workflows including data preparation, feature engineering, model training, validation, deployment, monitoring, and optimization.
• Apply advanced data science techniques including regression, classification, time series forecasting, causal inference, optimization techniques, and deep learning approaches.
• Build and improve scalable ML training and inference pipelines.
• Work closely with Data Engineers, ML Engineers, Product Managers, and business teams to deliver data‑driven solutions.
• Perform experimentation, A/B testing, statistical analysis, and model evaluation to measure model effectiveness.
• Research and apply modern ML techniques including Transformers, Deep Learning models, NLP techniques, and AI‑based solutions.
• Follow and promote data science best practices for model development, evaluation, and deployment.
• Mentor junior team members and provide technical guidance when required.
• Leverage AI‑assisted tools to improve productivity and quality.

What to Bring

• Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• 5+ years of experience in building data science models and machine learning solutions.
• Strong understanding of statistics, machine learning algorithms, probability, and data science fundamentals.
• Hands‑on experience in developing, deploying, and optimizing ML models in production environments.
• Strong programming experience with Python, R, Scala, or similar programming languages.
• Experience with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit‑learn, XGBoost, Keras, and Spark ML.
• Strong knowledge of machine learning techniques, including Regression & Classification Models, Time Series Forecasting, Recommendation Systems, Personalization, Search & Ranking Models, Deep Learning, NLP, LLMs, Causal Inference, Reinforcement Learning, Multi‑Armed Bandits, and Model Optimization.
• Experience across the complete ML lifecycle, including feature engineering, training pipelines, model validation, deployment, monitoring, and continuous improvement.
• Experience working with large‑scale datasets and distributed computing frameworks.
• Good understanding of MLOps concepts, scalable ML architectures, and production ML systems.
• Strong analytical thinking, problem‑solving abilities, communication skills, and cross‑functional stakeholder collaboration experience.

Preferred Qualifications

• Experience working on personalization, customer growth, advertising, content recommendation, or large‑scale consumer platforms.
• Exposure to cloud‑based ML platforms and production ML infrastructure.
• Knowledge of modern AI/GenAI tools and frameworks.
• Ability to translate research concepts into practical business solutions.

What We Offer

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

Championing Inclusion at WBD

Warner Bros. Discovery embraces building a workforce that reflects a wide array of perspectives, backgrounds and experiences. We 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 require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.