Director Of Data Science, Decision Sciences

Job Description

Responsibilities
Meet Peacock, NBCUniversal's new, wildly entertaining streaming service that combines timeless shows and movies with timely news, sports and pop-culture.
We're growing our team of smart, hungry, and upbeat doers who crave the chance to build something new at the epicenter of content, tech, and culture. We need fearless leaders and pop-culture fiends who work hard and fan hard. Creative problem-solvers who just so happen to be the reigning champs at Parks & Rec trivia night. So if this sounds like you, join our flock. And we promise, we won't put your stapler in Jell-O.

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 and 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 analytical solutions for multiple verticals of NBCU's video streaming service including but not limited to, the streaming content predictive modeling, automated marketing, personalized advertisement, customer journey and CRM solutions.

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 an analytical framework using statistical, machine learning and data mining methodologies.
• Work with business stakeholders to define priorities, approaches and business requirements for the analytical solutions.
• Drive the collection and manipulation of new data and the refinement of existing data sources.
• Manage multiple priorities across business verticals and machine learning lifecycle projects.
• Translate complex problems and solutions to all levels of the organization.
• 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.
• 7+ years of combined experience in advanced analytics in industry or research.
• 3+ years of experience managing a team.
• Expert level knowledge of statistical methods and machine learning, particularly in time-series and forecasting.
• Ability to define the direction for a project and select appropriate methods and tools. Up to date knowledge of recent advancements.
• Experience with deep learning, including areas different form the computer vision.
• Good understanding of reinforcement learning algorithms.
• Experience implementing scalable, distributed, and highly available systems using Google Cloud.
• Experience with using data visualization tools and techniques to deliver business insights and value.
• Deep understanding of algorithmic complexity of model training and testing, particularly for real-time and near real-time models.
• Proficient in multiple analytics and programming languages such as R, Python, SAS, Julia, Java, Scala or similar
• Experience in data processing using SQL and PySpark.

Desired Characteristics
• Advanced experience in media analytics and application of data science to the content streaming and TV industry.
• Experience with multi-billion record datasets and leading projects that span the disciplines of data science and data engineering.
• Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.).
• Experience with television ratings and digital measurement tools (Nielsen, Rentrak, ComScore etc.).
• Experience in leading work on building data pipelines using SQL and PySpark in GCP environment.
• 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.

Jobcode: Reference SBJ-roqxk3-3-145-17-46-42 in your application.