Senior Data Scientist

Mexico City, Mexico City, Mexico

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Retail Measurement, Data ScienceIndustries

Requirements

Candidates must possess a Master's or Doctorate Degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or equivalent experience with large-scale data analysis. A minimum of 5 years of relevant experience is required, along with solid understanding of the FMCG industry and RMS systems/products. Experience in product research, design, and implementation is necessary, as is comfort in designing solutions and supporting team execution. Critical and innovative thinking, strong analytical skills focused on experimentation and hypothesis testing, and the ability to support others in applying advanced technical principles are essential. Domain expertise in programming, statistical analysis/machine learning/deep learning, time series, or sampling is required. Proficiency in Python programming and working with large-scale databases such as SQL, Hadoop, or pySpark is mandatory. Experience with Azure, DataBricks, and CI/CD is a plus. The ability to work in a virtual environment and familiarity with Git processes are also required. Strong communication, presentation, and collaboration skills are crucial.

Responsibilities

The Senior Data Scientist will research and develop new methodologies, research directions, and quantify their improvements. They will deliver methodological enhancements to improve quality and gain process efficiencies. Responsibilities include working closely with technology teams, other Data Science teams, and internal stakeholders during the development and deployment of new methodologies. The role involves prototyping and supporting pilot programs to drive innovation. The Senior Data Scientist will own and maintain Data Science global methodologies, ensuring they are well-documented and understood. They will also engage and motivate the team to seek further understanding of data and methods, and review project progress and Proofs of Concept (PoCs), proposing improvements and constructive critiques.

Skills

Data Science

Statistics

Machine Learning

Artificial Intelligence

Data Integration

Analytical Skills

R&D

Product Research

FMCG Industry

Retail Measurement Service

Nielsen

Global measurement and data analytics provider

About Nielsen

Nielsen provides measurement and data analytics services to help businesses understand consumers and markets globally. The company operates through two main divisions: Nielsen Global Media, which offers reliable metrics for the media and advertising industries, and Nielsen Global Connect, which supplies consumer packaged goods manufacturers and retailers with actionable insights about the marketplace. Nielsen combines its proprietary data with other sources to give clients a comprehensive view of current trends and future opportunities. With a presence in over 100 countries, Nielsen aims to support companies in making informed decisions to drive innovation and growth.

Town of Clarkstown, New YorkHeadquarters

1963Year Founded

$45.1MTotal Funding

ACQUISITIONCompany Stage

Data & Analytics, ConsultingIndustries

10,001+Employees