Senior Staff Engineer - Data Science

This job is with Warner Bros. Discovery, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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.

Your New Role :

The Sr. Staff, AdTech Data Scientist is accountable for developing, deploying, and monitoring ML / AI systems that process

billions of daily ad signals

across linear and digital platforms. This role ensures predictive intelligence is integrated into advertising workflows to improve yield, optimize targeting, and accelerate campaign performance at global scale.

Your Role Accountabilities :

Forecasting & Optimization Models

– Build and deploy advanced forecasting, yield management, and pricing models leveraging

statistical optimization, reinforcement learning, and decision science , driving efficiency across

multi-billion-dollar annual ad spend .

Audience & Identity Intelligence

– Develop algorithms for audience segmentation, cross-platform deduplication, and identity enrichment, ensuring

privacy-compliant personalization

and cross-device measurement across millions of users.

Production ML Systems

– Operationalize ML pipelines with feature engineering, training, deployment, and monitoring, ensuring

scalability and reliability

on cloud-native platforms (AWS SageMaker, Bedrock, Databricks).

Collaboration & Mentorship

– Partner with engineering and product teams to integrate models into business workflows; mentor junior data scientists in advanced ML methods and experimentation.

Qualifications & Experience :

Education :

PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, or related field strongly preferred; Master’s with equivalent applied experience considered.

Data Science Expertise :

12+ years of experience applying ML and advanced statistical methods to large-scale, production systems.

Optimization & Forecasting :

Deep expertise in time-series forecasting, reinforcement learning, statistical optimization, and causal inference.

AdTech Domain Knowledge :

Familiarity with advertising ecosystems including forecasting, yield optimization, identity resolution, and programmatic targeting.

Scalable ML Systems :

Hands-on experience building ML pipelines in cloud-native environments using AWS SageMaker, Bedrock, Databricks, TensorFlow, PyTorch, Spark ML.

Experimentation & Measurement :

Strong track record of designing and analyzing experiments to measure business impact of models at revenue scale.

Operational Excellence :

Skilled in MLOps, model governance, explainability, and observability frameworks.

Collaboration & Influence :

Ability to partner with engineers, product managers, and business stakeholders to deliver monetization-focused outcomes.

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, 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 : $192,570.00 - $357,630.00 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.

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