Machine Learning Specialist - Senior Data Scientist

NielsenIQ
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Job Description

You will work with a global team dedicated to the development of E-Commerce products, a new way to measure how people shop online. Supporting our recent Fox Intelligence acquisition, we are looking for someone to develop our E-Commerce category and brand classification methodologies in EU5 countries and then deliver other E-Commerce initiatives in Western Europe.

Ideally, you should have familiarity with Machine Learning algorithms, consumer sourced data and exposure to business intelligence or market research.

You should have a passion for challenging data opportunities! 

Responsibilities

  • Utilize Consumer sourced datasets to deliver best-in-class E-Commerce product categorization
  • Use Machine Learning techniques to harmonize data sources, evaluating quality of results against available truth sets and algorithm KPIs
  • Evaluate current E-Commerce item coding methodologies and identify opportunities for enhancement 
  • Implement best practices for data categorization using ML and associated techniques
  • Deliver codebase and documentation to local Data Science, Technical and Operations teams
  • Prototype as well as support pilot programs to drive innovation

Qualifications

WE'RE LOOKING FOR PEOPLE WHO HAVE:

  • Bachelor’s or Master’s Degree or Doctorate Degree 
  • Experienced in high-level programming languages (Python or R) and associated ML libraries
  • Experience using ML algorithms on large-scale databases
  • Excellent statistical and logic skills
  • Strong communication and collaboration skills
  • Ability to effectively convey complex concepts to non-experts
  • Business acumen, the ability to link client's needs with the business
  • Ability to manage multiple projects simultaneously
  • Fluency in French, German or Italian a plus! 

Company Info.

NielsenIQ

NielsenIQ is the industry leader in global measurement and data analytics, and the most trusted source for retail and consumer intelligence. We deliver the complete truth to retailers, manufacturers, and our partners through our comprehensive data sets and powerful insights. We enable businesses to make critical decisions confidently, accelerating growth and optimizing performance. Our 30,000 employees -- based in over 100 countries.

  • Industry
    Information Technology
  • No. of Employees
    30,000
  • Location
    200 W Jackson Blvd, Chicago, Illinois 60606, USA
  • Website
  • Jobs Posted

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