NielsenIQ is hiring a Lead Data Scientist to join its global R&D team. In this role, you will research, develop, and deploy new statistical, machine learning, and AI methodologies to enhance our products and processes. You’ll own all phases of R&D projects, from conceptualization to deployment, and deliver high-quality, academic-level documentation.

What You'll Do

Research and develop new methodologies, prototype solutions, and quantify improvements using rigorous scientific methods in the ML/AI space.
Own all phases of an R&D project or process improvement, including conceptualization, design, prototyping, documentation, deployment, and monitoring.
Work closely and collaborate with experienced teams in operations, technology, other data scientists, and internal stakeholders during all project phases.
Deliver high-quality, academic publication-level documentation of new methodologies and best practices.
Engage with stakeholders on objectives, scope, execution, data exchange, and outcomes for assigned projects.
Participate in and actively contribute to multiple projects simultaneously.

What We're Looking For

A Masters (M.Sc.) or Doctorate (Ph.D.) degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or a related field, with outstanding analytical expertise and strong technical skills.
At least 7 years of relevant experience.
Domain expert knowledge in multiple areas: programming, software engineering / UI & UX / multivariate statistics / machine learning / deep learning & Agentic AI / trend & time-series analysis / sampling theory.
Critical and innovative thinking coupled with strong analytical skills focused on experimentation and hypothesis testing.
High proficiency in Python programming (without AI assistance) and working with large-scale databases (e.g., SQL, Hadoop, pySpark), statistical packages (Pandas, NumPy, Scikit-Learn), and unit testing.
Experience with AzureML, DataBricks, and CI/CD (Docker, Unix, AKS) best practices.
Able to work in a virtual environment and comfortable with git (Github) processes, including PRs and code conflict resolution.
Strong communication, presentation and collaboration skills in English with a record of written materials and public presentations (e.g., papers, conferences, patents, tutorials, substack).
A continuous learner willing to experiment and adopt new technologies and tools.

Nice to Have

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

Technical Stack

Python, SQL, Hadoop, pySpark, Pandas, NumPy, Scikit-Learn, AzureML, DataBricks, Docker, Unix, AKS, Git

Team & Environment

You will work with an interdisciplinary and global R&D team within the Data Science organization.

Benefits & Compensation

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

Work Mode

This role operates on a global scale.

NielsenIQ is committed to Diversity, Equity, and Inclusion, fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve.

All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws.