Data Scientist II

Data Scientist II

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.

Data Scientist II - Hyderabad, India.

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 & Audience Platform organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product HBO Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. The mission of the Content Lifecycle Analytics team is to enable WBD to leverage the world’s most valuable content library and achieve market leading content-driven business success.​ We 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 customer growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape.

Roles & Responsibilities:

As a Data Scientist II, you will support the Content Lifecycle Analytics team by building data science, machine learning, and AI-driven solutions for WBD’s non-streaming studio businesses. You will develop predictive models and advanced analytics capabilities that help stakeholders understand audience behavior, demand signals, business performance, and content value. In this role, you will partner with Data Engineering, Analytics Engineering, and cross-functional business teams to deliver data products and actionable insights that support strategic planning, reporting, optimization, and long-term business growth.

• Develop and deploy machine learning models and data science solutions at scale.

• Perform data exploration, feature engineering, model training, validation, and evaluation.

• 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 statistical and machine learning techniques including regression, classification, time series forecasting, recommendation systems, NLP, and deep learning where appropriate.

• Monitor model performance and contribute to continuous improvements.

• Work closely with Data Engineers, ML Engineers, Analytics Engineers, and business teams to deliver data-driven solutions.

• Follow and promote data science best practices for model development, evaluation, and deployment.

• 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.

• 3-5 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, and optimizing ML models in production environments.

• Strong programming experience with Python, R, 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, NLP, LLMs.

• Familiarity with the ML lifecycle including feature engineering, model training, deployment, and monitoring.

• Strong analytical thinking, problem-solving abilities, communication skills, and cross-functional stakeholder collaboration experience.
  

Preferred Qualifications:

• Experience with Business Intelligence (BI) tools such as Power BI, Tableau, or Looker for data visualization, dashboarding, and communicating insights to stakeholders.

• Experience working on personalization, customer growth, advertising, content recommendation, or large-scale consumer platforms.

• Exposure to cloud platforms and distributed data processing frameworks is a plus.

• 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

How We Get Things Done…

This 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.

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.

Experience Level

Mid Level