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NielsenIQ

Global provider of consumer purchasing data

Senior Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedHybrid

About the Job

Requirements

  • A Master’s or Doctorate degree in Data Science, Mathematics, or Statistics, or an Engineering degree in Computer Science, Data Science, or a related field involving statistical analysis of large data sets.
  • At least 5 years of relevant experience.
  • A solid understanding of the FMCG industry for the specific core process and advanced knowledge of RMS systems or products.
  • Experience designing studies and sampling.
  • Ability to design solutions and support a team in executing them.
  • Innovative thinking, data analytical skills, application of statistical techniques, and encouragement of experimentation in work delivery.
  • Ability to help others understand and apply complex technical principles and methodologies, creating clarity and focus for teams.
  • Domain expertise in programming, statistical analysis, machine learning, deep learning, time series, and sampling.
  • Experience with Python programming, machine learning, queries, and large-scale databases.
  • Ability to work in a virtual environment and familiarity with git and Bitbucket processes.

Responsibilities

  • Own and lead the evaluation and improvement of methodologies to improve the quality of Retail Establishment Survey designs and transform the Universe Estimation process using machine learning and statistical techniques.
  • Research new methodologies and research directions, and quantify their improvements.
  • Deliver methodological enhancements that improve overall quality and process efficiency.
  • Work with technology teams, other Data Science teams, and internal stakeholders during the development and deployment of new methodologies.
  • Prototype and support pilot programs to drive innovation.
  • Own and maintain global Data Science methodologies, ensuring they are well documented and understood.
  • Ask questions that engage and motivate the team to develop further understanding of data.
  • Review project and proof-of-concept progress, and propose improvements and constructive critiques.

Desired Qualifications

  • Knowledge of geospatial data and techniques.
  • Drive to continuously learn and adopt new technologies and tools.

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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