Job Description

Our Direct-to-Consumer (DTC) portfolio is a powerhouse collection of consumer-first brands, supported by media industry leaders, Comcast, NBCUniversal, and Sky. When you join our team, you’ll work across our dynamic portfolio including Peacock, NOW, Fandango, SkyShowtime, Showmax, and TV Everywhere, powering streaming across more than 70 countries globally. And the evolution doesn’t stop there. With unequaled 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 Direct-to-Consumer Recommendation Sciences team, the Principal Data Scientist will be responsible for creating machine learning solutions for NBCU’s video streaming service including but not limited to, content recommendations, product experience personalization, and personalized ad services.

In this role specifical, the Principal Data Scientist (Deep Learning) will lead algorithmic solution design, rapid prototyping, and technical review for the ML/AI models underlying personalized user experiences and content promotion. They will be a key point of contact for cross-functional architects and software developers as they integrate personalized data products and capabilities across our suite of global and domestic products. They will work with a dynamic cohort of high calibar individuals across Product, Technology, Marketing, Content Discovery, Editorial, and more to build a state-of-the-art real-time video streaming service

Responsibilities include, but are not limited to:

• Build and manage a high-performance team of data scientists.
• Lead the team in the development of a recommendation system modeling and experimentation framework.
• Work with business stakeholders to define priorities, approaches and business requirements for the analytical solutions.
• Manage multiple priorities across business verticals and machine learning lifecycle projects.
• Lead work with engineering teams to define data science driven requirement and solutions for major initiatives and opportunities of the streaming service functionality.
• Drive innovation of the statistical and machine learning methodologies and tools used by the team. Lead improvements in machine learning lifecycle infrastructure.
• Drive a data science culture that inspires and motivates the team to succeed.

Qualifications

• Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.
• 6+ years of combined experience in software development or data science
• Experience with commercial recommender systems or a lead role in an advanced research recommender system project.
• Cloud certification (with exam) in either solutions architecture or Machine Learning from AWS, Google, Microsoft, or other major cloud software provider
• Working experience with deep learning, including computer vision, computational linguistics/conversational AI, or recommender systems. Strong experience with deep learning using TensorFlow.
• Experience with Google AI Platform/Vertex AI, Kubeflow and Airflow.
• Proficiency in Python. Go, Scala, or Java is a plus.
• Experience in data processing using SQL and PySpark, and extensive experience with NoSQL and Feature Store production interactions
• Good understanding of algorithmic complexity of model training and testing, particularly for real-time and near real-time models.

Desired Characteristics:

• Experience in content streaming or commerce as a senior contributor to AI/ML-powered product features and user experiences
• Experience with reinforcement learning based systems.
• Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.).
• Experience with large-scale video assets.
• Ability to build trust across the organization and socialize solutions and identified data insights
• Pride and ownership in your work and confident representation of your team to other parts of NBCUniversal.

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 theBenefits page of the Careers website. Salary range: $185,000 - $220,000, Bonus and LTI eligible

Additional Information

NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.

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