M+E Technology Job Board

Sr. Data Engineer

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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.

Job Duties
Partner with various NBCU Technology teams in the design and execution of an overall Corporate Data Syndication Strategy for Nielsen and Alternative Measurement Data
Process structured and unstructured data into a form suitable for analysis and reporting, empowering state-of-the-art analytics and machine learning environments for business analysts, data scientists and engineers
Operationalize data science models and products in a cluster-computing environment
Evangelize a very high standard of quality, reliability and performance for data models and algorithms that can be streamlined into the engineering and sciences workflow
Manage multiple priorities across a mix of ad-hoc and operational projects


Basic Qualifications
Master’s Degree with a specialization in Computer Science, Engineering, Physics or other quantitative field or equivalent
2+ years of experience processing large amounts of structured and unstructured data in a cluster-computing environment or similar experience in academia
5+ years of experience with a programming language such Scala, R, Python or Java and the ability to write reusable and efficient code to automate analyses and data processes
Experience with open source and Enterprise software
Experience building and maintaining production data pipelines
Familiarity with relational databases and SQL
Team-oriented and collaborative approach with a demonstrated aptitude and willingness to learn new methods and tools
Desired Characteristics Desired Qualifications
Experience with television ratings and digital measurement tools (Nielsen, Rentrak, comScore, Omniture, etc.)
Familiarity with NoSQL and Graph databases
Experience with large-scale video assets
Experience with computer vision and metadata generation from video