Lead Data Scientist
Core
Research, develop, and deploy new statistical/ML/AI methodologies to enhance NIQ products and processes.
Role type
Lead Data Scientist (R&D)
Builds
Production ML models and process improvements for consumer intelligence products
Domain
Consumer intelligence, retail analytics, machine learning, deep learning, Agentic AI
Deliverable
production ML models
Required skills
Multivariate statistics, machine learning, deep learning, Agentic AI, time-series analysis, Python programming, large-scale database management, statistical package proficiency, unit testing, CI/CD practices, Git workflows
Preferred skills
NIQ processes and methodologies expertise
Technologies
Python, SQL, Hadoop, pySpark, Pandas, NumPy, Scikit-Learn, AzureML, DataBricks, Docker, Unix, AKS
Responsibilities
Research and develop new methodologies and prototype solutions; own end-to-end R&D project phases from conceptualization to monitoring; collaborate with operations, technology, and stakeholder teams; deliver academic-level documentation of methodologies; engage stakeholders on project objectives and outcomes; contribute to multiple simultaneous projects
Seniority
Senior, hands-on IC with leadership in R&D