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NielsenIQ

Global provider of consumer purchasing data

Data Scientist

Data ScienceUpdated on Nov 7
Full-timeMexico City, CDMX, MexicoNo salary listed

About the Job

Requirements

  • A degree in Mathematics, Data Science, Statistics, Actuarial Science, or a related field involving statistical analysis of large data sets is required.
  • Advanced written and spoken English is required.
  • Two to three years of experience in market research, data science, or a relevant field is required.
  • A basic understanding of statistics is required.
  • Aptitude for data analysis is required.
  • Experience with programming languages such as Python is required.
  • Familiarity with contemporary database systems is required.
  • Familiarity with marketing analytics, including experiment design and consumer behavior analysis, is required.

Responsibilities

  • Support internal and external clients in understanding data science design and methodology.
  • Accompany senior leaders in client meetings to understand business needs and help offer innovative solutions.
  • Assist in creating new solution use cases, proofs of concept, and prototypes by exploring diverse data sets using tools such as Python and R.
  • Collaborate with other data science team units.
  • Automate and develop solutions for existing processes.

About the Company

NielsenIQ

Global provider of consumer purchasing data

NielsenIQ collects and analyzes consumer purchasing data to help retailers and brands understand market behavior. It tracks what people buy, when, and where, using this data to measure market share and purchasing trends across categories. The product works by aggregating point-of-sale and other consumer data, then turning it into actionable insights and benchmarks that clients can use to optimize pricing, assortment, promotions, and marketing. NielsenIQ differentiates itself through its long history (dating back to 1923) and a broad global footprint (operating in over 100 countries), plus its expanded capabilities after merging with GfK in 2023 to strengthen data on technology and durable goods. Its goal is to provide objective, data-driven guidance that helps retailers and brands make informed decisions and improve performance.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1923

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