CBS Corporation Director Data Science in New York, New York
Director Data Science
CBS BUSINESS UNIT: CBS Corporate
JOB TYPE: Full-Time Staff
JOB SCHEDULE: Full-Time
JOB LOCATION: New York, NY
CBS Corporation (NYSE: CBS.A and CBS) is a mass media company that creates and distributes industry-leading content across a variety of platforms to audiences around the world. The Company has businesses with origins that date back to the dawn of the broadcasting age as well as new ventures that operate on the leading edge of media. CBS owns the most-watched television network in the U.S. and one of the world’s largest libraries of entertainment content, making its brand - "the Eye" - one of the most recognized in business. The Company’s operations span virtually every field of media and entertainment, including cable, publishing, local TV, film, outdoor advertising, and interactive and socially responsible media. CBS’s businesses include CBS Television Network, The CW (a joint venture between CBS Corporation and Warner Bros. Entertainment), Showtime Networks, CBS Sports Network, TVGN (a joint venture between CBS Corporation and Lionsgate), Smithsonian Networks, Simon & Schuster, CBS Television Stations, CBS Television Studios, CBS Global Distribution Group (CBS Studios International and CBS Television Distribution), CBS Interactive, CBS Consumer Products, CBS Home Entertainment, CBS Films and CBS EcoMedia.
CBS Corporation is seeking a Director, Data Scientist to join its Enterprise Data Management team. This role will report to the VP, Enterprise Data Management and will support all the CBS divisions on various data science initiatives. The Data management team provides a service to all of CBS divisions enabling various reporting and analytic capabilities for a data driven decision making in every corner of our business.
Developing innovative, scalable machine learning and data mining solutions that mine complex user behavioral data and transform it into actionable insights
Extensive code development, debugging, optimizing, and productionizing
Conducting ad hoc analysis, building models, forecasting viewing behavior
Constructing and presenting research ideas, prototypes and proofs of concepts
Identifying, ingesting, and enriching a wide range of structured and unstructured big data into datasets for analysis
Defining strategies and parameters for predictive models and data mining projects, ensuring data integrity and usability
Analyzing and evaluating model results, providing ongoing monitoring and improvements
Staying abreast of new developments in machine learning in order to investigate and develop new "challenger" approaches to compete against current "champions"
Helping craft the long-term data strategy for the organization and advocating for the intelligent use of data throughout the business
About You: You LOVE data, programming and math. You have the attitude that whatever you do not know you can learn. You are an exceptional communicator with extensive experience presenting complex models and detailed analysis in simplified ways to non-technical staff. You have phenomenal Python, R and SQL coding skills (nearly developer level) and tons of experience with Big Data technologies and platforms (Pyspark, Hive and Hadoop). Your coding expertise is vital since we look to leverage automation in every way possible to maximize our reach and impact. Finally, you have a very sophisticated understanding of machine learning, statistics and data science principles and a proven record of successfully putting them into practice.
Master's degree or equivalent in Computer Science, Machine Learning, Data Science, Statistics, Applied Mathematics, Operations Research or Physics
5+ years of hands-on experience with machine learning, predictive modeling and statistical analysis techniques in a business environment
Exceptional programming skills in R, Python (pandas, scikit-learn, statsmodels, IPython, matplotlib)
Highly advanced SQL skills and experience with both relational and non-relational databases
Experience with additional programming languages and statistical platforms is a plus: R, Scala, Java, MATLAB, SAS, SPSS Modeler
Deep experience in regression, classification models, bagging, boosting, decision trees, neural networks, support vector machines, dimensionality reduction, clustering and experimental design
Expert user of Big Data technologies and platforms (Pyspark, Hive and Hadoop) and data visualization tools (e.g. Tableau)
Outstanding verbal and written communication skills and presentation skills with a sharp ability to simplify complex concepts and convey actionable solutions
Equal Opportunity Employer Minorities/Women/Veterans/Disabled