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NielsenIQ

Global provider of consumer purchasing data

Lead Data Scientist

AI ResearchConfirmed live in the last 24 hours
Full-timeVadodara, Gujarat, IndiaNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or a related field, plus at least 7 years of relevant experience.
  • Domain expertise in multiple areas among programming, software engineering, user interface and user experience, multivariate statistics (parametric and non-parametric), machine learning, deep learning and Agentic AI, trend and time-series analysis, and sampling theory.
  • Strong analytical expertise and technical skills, with critical and innovative thinking focused on experimentation and hypothesis testing.
  • High proficiency in Python programming without AI assistance and experience working with large-scale databases such as SQL, Hadoop, or PySpark; statistical packages such as Pandas, NumPy, and Scikit-Learn; and unit testing.
  • Experience with Azure Machine Learning, Databricks, and continuous integration/continuous delivery best practices using Docker, Unix, and AKS.
  • Ability to work in a virtual environment and use GitHub processes, including pull requests and code conflict resolution.
  • Strong communication, presentation, and collaboration skills in English, with a record of written materials and public presentations such as papers, conferences, patents, tutorials, or Substack.
  • Willingness to continuously learn, experiment, and adopt new technologies and tools.

Responsibilities

  • Research and develop new methodologies, research directions, and prototype solutions, and quantify their improvement using rigorous scientific methods in machine learning and artificial intelligence.
  • Own all phases of an R&D project or process improvement, including conceptualization, design, prototyping, documentation, deployment, and monitoring.
  • Work and collaborate with teams in operations, technology, data science, and internal stakeholder groups throughout project phases.
  • Produce high-quality, academic publication-level documentation of new methodologies and best practices.
  • Engage stakeholders on objectives, scope, execution, data exchange, and outcomes for assigned projects.
  • Participate in and actively contribute to multiple projects simultaneously.

Desired Qualifications

  • Experience with NIQ processes and methodologies, such as data collection, platforms, research processes, and operations.

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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