NielsenIQ
Market Research
LeadDataScientist
Neural analysis suggests this role is
optimal for mid candidates.
“Lead Data Scientist at NielsenIQ. Skills: Data Science, Machine Learning, Python, Statistical Methods. Research and develop new methodologies. prototype solutions”
What You'll Achieve.
quantify their improvement with rigorous scientific methods; successfully deliver on R&D tasks
Industry & Context.
analytical expertise; analytical skills; experimentation; hypothesis testing
What They're Looking For.
Must Have
Doctorate (Ph. D. ) Degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or related field, At least 7 years of relevant experience, High proficiency in Python programming, working with large-scale databases, statistical packages, unit testing
Nice to Have
Domain expert knowledge in multiple areas of the following: programming, software engineering / UI & UX / multivariate statistics (parametric/non-parametric) / machine learning / deep learning & Agentic AI / trend & time-series analysis / sampling theory, Critical and innovative thinking coupled with analytical skills focused on experimentation and hypothesis testing, Experience with AzureML, DataBricks, and CI/CD (Docker, Unix, AKS) best practices, Able to work in virtual environment, comfortable with git (Github) processes, including PRs and code conflict resolution, communication, presentation and collaboration skills in the English language with a record of written materials and public presentations (e.g. , papers, conferences, patents, tutorials, substack, etc), A continuously learner willing to experiment and adopt new technologies and tools
What You'll Do.
Research and develop new methodologies
quantify their improvement
Own all phases of R&D project
Work closely and collaborate
Deliver high quality documentation
Engage with stakeholders
Participate in multiple projects
How You'll Work.
Team & Collaboration
Work closely and collaborate with experienced teams in operations, technology, other data scientists, and internal stakeholders; Engage with stakeholders on objectives, scope, execution, data exchange, and outcomes for assigned projects
Communication Scope
communication; presentation; collaboration skills in the English language; record of written materials and public presentations
Process & Methodology
Own all the phases of an R&D project or process improvement
Full Job Description
You will work with an interdisciplinary and global R&D team dedicated to the research, development, and deployment of new statistical/ML/AI methodologies to support a range of NIQ products/processes enhancements from within in the Data Science organization. We are looking for someone who can leverage advanced technologies – including statistical methods, machine learning, and artificial intelligence – to improve products/processes and, coupled with strong analytical skills, successfully deliver on R&D tasks. You must be a scientist at heart and have a passion for innovation, research & development (R&D), and challenging problems! Responsibilities * Research and develop new methodologies, research directions, prototype solutions, and quantify their improvement with rigorous scientific methods in the ML/AI space. * Own all the 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 phases of a project. * 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. ## Qualifications * Doctorate (Ph.D.) Degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or related field, with outstanding analytical expertise and strong technical skills. At least 7 years of relevant experience. * Domain expert knowledge in multiple areas of the following: programming, software engineering / UI & UX / multivariate statistics (parametric/non-parametric) / machine learning / deep learning & Agentic AI / trend & time-series analysis / sampling theory. * Critical and innovative thinking coupled with strong analyt
Applying for this Lead Data Scientist role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about NielsenIQ?
Real rants from real employees. Read before you apply.