Lead Data Scientist, Media Group Decision Sciences

Job Description

NBCUniversal is one of the world's leading media and entertainment companies.
Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description
The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We're always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we're backed by a culture of respect. We embrace authenticity and inspire people to thrive.
As part of the Decision Sciences team, the Lead Data Scientist will be responsible for creating analytical solutions for one or more verticals of NBCU's video streaming service including, but not limited to, dynamic pricing, messaging optimization, CRM solutions, and customer value assessment.
In this role, the Lead Data Scientist will use advanced data science methodologies including causal uplift modeling, contextual and non-contextual bandits, experimentation, and Gen AI (LLMs). They will work closely with business owners, teammates and engineers to build state-of-the-art algorithmic targeting solutions for a dynamic media platform. They will be responsible for building, maintaining, and testing robust production ready systems that may need to serve low latency predictions.
Responsibilities include, but are not limited to:
• Contribute to and lead projects related to the development of analytical models using machine learning, causal uplift modeling, and Gen AI techniques.
• Provide mentorship to junior teammates via pairing and code reviews
• Effectively communicates work and project implications to stakeholders of varying technical expertise
• Conduct rigorous cross-validation, backtesting and off policy evaluation of model performance.
• Familiarity with CI/CD processes and contributes to a sustainable and robust codebase
• Understanding of batch jobs/data pipelines and is comfortable deploying through these systems (i.e. Airflow, Luigi, Composer)
• Build and interact with production systems for serving machine learning predictions.
Qualifications
• Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.
• Minimum of 5 years of combined data science experience within industry or research.
• Has solid knowledge of standard data science and statistical techniques
• Has built machine learning models and frameworks with a consideration to training, prediction time, and their implications on production systems
• Has strong knowledge of one of causal inference techniques, Gen AI (LLM) implementation, or contextual bandits
• Experience implementing scalable systems (Google Cloud preferred).
• Experience with data visualization tools and techniques.
• Ability to turn stakeholder ideas into rigorous solutions
• Proficient in Python and SQL

Desired Characteristics
• Working experience with product teams to deploy prescriptive machine learning models to drive one or more KPIs.
• Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.)
• Implementing and owning end-to-end data projects with a diverse group of stakeholders
Additional Requirements:
Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $145,000 - $175,000 (bonus and long-term incentive eligible)

Jobcode: Reference SBJ-j66v1w-216-73-216-165-42 in your application.