Director of Data Science (Deep Learning), Peacock Decision Science Details

Director of Data Science (Deep Learning), Peacock Decision Science

NBCUniversal - New York, NY

Employment Type : Full-Time

Welcome to Peacock, the dynamic new streaming service from NBCUniversal. Here you’ll find more than a job. You’ll find a fast-paced, high-flying team for unique birds that want to be at the epicenter of technology, sports, news, tv, movies and more. Our flock works hard to connect people to what they love, each other and the world around them by creating shared experiences through culture-defining entertainment.

As a company, we embrace the power of difference. Our team is committed to creating an organization that champions diversity and inclusivity for all by curating content and a workforce that represents the world around us. We continue to challenge ourselves and the industry by being customer-centric, data-driven creatures of innovation. At Peacock, we are determined to forge the next frontier of streaming through creativity, teamwork, and talent.

Here you can fly to new heights!

Are you ready to go beyond classic predictive analytics to the new areas like deep learning and reinforcement learning? Do you want to be a part of the team that builds an advanced recommender engine, active leaning platform, personalized solutions for marketing and advertisement? Join the world-class international team of smart, hungry and fearless professionals who are working at the cutting edge of technology and science at the epicenter of content, technology and culture.

Position Overview:

As part of the Direct-to-Consumer Decision Sciences team, the Director of Data Science will be responsible for creating machine learning solutions for NBCU’s video streaming service including but not limited to, the recommender systems, streaming content predictive modeling and MarTech.

In this role, the Director of Data Science will manage a team of data scientists in the design and execution of advanced analytical solutions using advanced data science methodologies including collaborative filtering, deep learning, reinforcement learning, on-line modeling etc. and lead collaboration with business owners and engineering team 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/Requirements

• 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 advanced analytics in industry or research.
• 2+ years of experience managing a team.
• Experience with commercial recommender systems or a lead role in an advanced research recommender system project.
• Working experience with deep learning, particularly in the areas different form the computer vision. Strong experience with deep learning using TensorFlow.
• Experience implementing scalable, distributed, and highly available systems using Google Could Platform.
• Experience with Google AI Platform/Vertex AI, Kubeflow and Airflow.
• Proficiency in Python. Java or Scala is a plus.
• Experience in data processing using SQL and PySpark
• Good understanding of algorithmic complexity of model training and testing, particularly for real-time and near real-time models.

Desired Characteristics

• Experience in media analytics and application of data science to the content streaming and TV industry.
• 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.

Sub-Business

Peacock Decision Science

Career Level

Experienced

City

New York

State/Province

New York

Country

United States

About Us

NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service.

Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. We strive to foster a diverse and inclusive culture where our employees feel supported, embraced and heard. We believe that our workforce should represent the communities we live in, so that together, we can continue to create and deliver content that reflects the current and ever-changing face of the world. Click here to learn more about Comcast NBCUniversal’s commitment and how we are making an impact.

Notices

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.