About this role
The Data Science team within the Buy Technology organization supports automation and data integration initiatives at Nielsen. These responsibilities include developing and implementing production solutions that leverage Machine Learning, Natural Language Processing, Entity Resolution and big data solutions. The team’s current primary focus includes integrating Nielsen and client data sets and the automation of Reference Data classification using a variety of Machine Learning techniques. .
Responsibilities
Lead productionazation of Machine Learning solutions from beginning to end — direct collaboration with Data Science team, build REST APIs, wrappers, utilities and other development artifacts to support the implementation and roll out.
Support deployment and maintenance of existing solutions in a production environment
Work with cross-functional teams to test, validate, and pilot R&D implementations
Stay abreast of developments implementation techniques and/or methodologies and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing solutions
Provide support for technical guidance and training of other team members
Ability to summarize, document, and communicate production implementation and/or roll out to audiences of varying levels of subject matter expertise
Company:
Nielsen
Qualifications:
Bachelor’s degree in Electrical Engineering, Computer Science, Mathematics or Statistics
5+ years of related experience
Strong software development experience using Python, C/C++ and/or Java with knowledge of machine learning production implementations
Experience with cloud implementation methods, including the use of containers, e.g., docker, etc.
Experience with big data technologies and platforms (e.g., Azure, Spark, Hadoop)
Strong software engineering practices, including version control, e.g., git, test driven development, and automated delivery using open source tools (e.g., Jenkins, Sonarqube)
Experience working with NoSQL and Relational databases
Good understanding and application of agile methodologies and working in agile projects
Excellent written and verbal communication skills
Educational level:
Bachelor’s Degree
Level of experience (years):
Senior (5+ years of experience)