Staff Data Scientist

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:

As a Staff Data Scientist, you will be part of the organization's efforts to influence product, business, and operational changes using data, analytics and science. You will be part of a team that uses advanced analytical techniques to develop strategies and recommendations to drive engagement and growth. You will work with a cross functional, customer-focused, digital first team to deliver analytic and ML solutions. You're a data scientist who not only understands how to use complex SQL queries and big data but can also use statistical modeling to answer intricate business questions. You will use machine learning models to build solutions/find answers when needed. You will synthesize your findings to present them to stakeholders in an easily consumable fashion.

• Analyze complex, high volumes of data from various sources using a variety of tools and data analytics techniques.
• Partner with stakeholders to understand business questions and provide answers using the most appropriate mathematical techniques.
• You will find actionable insights and provide recommendations to influence decisions made by the senior leadership teams.
• You will use machine learning models and statistics to also test the effectiveness of different courses of action.
• Apply critical thinking skills, look beyond the surface to detect patterns in data.
• Use effective visualizations to communicate findings across all levels of the organization, often to a non-technical audience.
• Work with stakeholders to implement solutions based on recommendations and improve business outcomes.
• Participate in the creation and support of data science and machine learning development standards and best practices.
• Mentor engineers and data scientists

What to Bring:

• BA/BS in statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus
• 7+ years of relevant experience in data engineering, analytics and data science
• 4+ 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,...).
• Expert proficiency in SQL (writing clean and performant code is a must)
• 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 levels

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 the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status 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.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $145,600.00 - $270,400.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.

If you're a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.