Warner Media, LLC.
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 Here at WBD, our guiding principles are the core values by which we operate. You can find them at www.wbd.com/guiding-principles/ along with insights from the team on what they mean. 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 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 disclose 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 - $357,630 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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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 Here at WBD, our guiding principles are the core values by which we operate. You can find them at www.wbd.com/guiding-principles/ along with insights from the team on what they mean. 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 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 disclose 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 - $357,630 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.
#J-18808-Ljbffr