NBC Universal Director, Data Science in New York, New York
Job Number 35364BR
Job Title Director, Data Science
Business Segment Staff
Sub-Business Enterprise Business Intelligence
Posting Category Strategy & Business Development
About Us NBCUniversal is one of the world’s leading media and entertainment companies in the development, production, and marketing of entertainment, news, and information to a global audience. NBCUniversal owns and operates a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, and world-renowned theme parks. 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.
The Management Science team helps drive "the art of the possible" for advanced analytics at NBCUniversal by building and integrating pragmatic data science principles and products throughout the Company. The Team focuses primarily on decision science analyses to support and inform strategy and key business decisions and building advanced data products to help enable more data-enhanced decision support.
Career Level Experienced
Country United States
State/Province New York
City New York
Lead and manage a team of data scientists in the design and execution of advanced analytical data exploration, mining, inference, models and systems utilizing multiple traditional and non-traditional Media measurement data sets
Help develop and lead the roadmap for measuring content efficacy through a mix of inference and predictive models, along with computer vision and natural language processing, to better understand our diverse audiences and creative assets
Drive the collection and manipulation of new data and the refinement of existing data sources
Manage multiple priorities across a mix of ad-hoc and operational projects
Translate complex problems and solutions to all levels of the organization
9+ years of experience in an advanced analytics or consulting role or similar experience in academia
Advanced Degree (Master’s or Ph.D.) with a specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or other quantitative field or equivalent
Experience with multi-billion record datasets and leading projects that span the disciplines of data science and data engineering
Experience and demonstrated proficiency in statistical methods (i.e., parametric and non-parametric regression, time-series, panel data analysis, survival analysis, etc.) and machine learning techniques (i.e., methods of supervised and unsupervised learning such as clustering, regression, classification, ensemble methods, etc.)
5+ years of experience managing people or teams
A strong understanding of the differences between inferential and predictive models and experience applying methods in both areas
Familiarity with cluster computing environments and Spark, Hive and/or Hadoop
Working knowledge of multiple analytics and programming languages such as R, Python, SAS, Julia, Java, Scala or similar
Familiarity with relational databases and SQL
Experience with data visualization techniques and concepts
Team-oriented and collaborative approach with a demonstrated aptitude and willingness to learn new methods and toolsEligibility Requirements
Interested candidate must submit a resume/CV through www.nbcunicareers.com to be considered.
Must be willing to work in New York, NY.
Experience with television ratings and digital measurement tools (Nielsen, Rentrak, comScore, Omniture, etc.)
Experience with large-scale video assets
Experience with computer vision and metadata generation from video
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