NielsenIQ
Market Research
LeadDataScientist
Neural analysis suggests this role is
optimal for mid candidates.
“Lead Data Scientist at NielsenIQ. Skills: Data Science, Machine Learning, Artificial Intelligence, Statistical methods. Research and develop new methodologies. Develop research directions”
Industry & Context.
Analytical expertise; Analytical skills; Critical thinking; Innovative thinking; Experimentation; Hypothesis testing
What They're Looking For.
Must Have
Doctorate Degree, 7 years of relevant experience, Python programming proficiency, Working with large-scale databases, Statistical packages proficiency, Unit testing proficiency, AzureML experience, DataBricks experience, CI/CD best practices, Git processes proficiency, Communication skills in English, Presentation skills in English, Collaboration skills in English
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Research and develop new methodologies
Develop research directions
Develop prototype solutions
Quantify improvements with scientific methods
Own R&D project phases
Own process improvement phases
Conceptualize projects
Collaborate with operations teams
Collaborate with technology teams
Collaborate with data scientists
Collaborate with internal stakeholders
Deliver documentation of new methodologies
Deliver documentation of best practices
Engage with stakeholders on objectives
Engage with stakeholders on scope
Engage with stakeholders on execution
Engage with stakeholders on data exchange
Engage with stakeholders on outcomes
Participate in multiple projects
Contribute to multiple projects
How You'll Work.
Team & Collaboration
Interdisciplinary teams; Global R&D team; Operations teams; Technology teams; Other data scientists; Internal stakeholders
Communication Scope
Written materials; Public presentations
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
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