Lead Data Scientist role at NIQ, responsible for research, development, and deployment of new statistical/ML/AI methodologies to support product enhancements. Requires advanced technologies, statistical methods, machine learning, and artificial intelligence to improve products/processes and deliver on R&D tasks.
Requirements
- 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.
- Domain expert knowledge in multiple areas of programming, software engineering, multivariate statistics, machine learning, deep learning, trend & time-series analysis, sampling theory.
- High proficiency in Python programming and working with large-scale databases, statistical packages, and unit testing.
- Strong communication, presentation and collaboration skills in the English language with a record of written materials and public presentations.
Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)

Follow us on social media