Responsibilities
- Investigate and create novel approaches, research initiatives, and prototype systems in machine learning and artificial intelligence, measuring advancements through robust scientific analysis.
- Manage end-to-end research and development projects or process enhancements, covering ideation, planning, prototyping, documentation, implementation, and performance tracking.
- Collaborate closely with cross-functional teams in operations, technology, data science, and internal stakeholders throughout all project stages.
- Produce thorough, publication-grade documentation for innovative methods and recommended practices.
- Coordinate with stakeholders to define goals, project scope, execution plans, data sharing, and expected results.
- Contribute actively to several concurrent initiatives, maintaining high engagement and delivery standards.
Work Arrangement
Remote (Worldwide)
Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
About NIQ
The organization is the global leader in consumer intelligence, offering the most comprehensive view of consumer purchasing behavior and uncovering new opportunities for growth. In 2023, it merged with GfK, uniting two industry pioneers to create unmatched worldwide reach. With a complete view of retail performance and the broadest consumer insights—powered by advanced analytics and delivered via cutting-edge platforms—the company provides the Full View™. It operates in over 100 markets, representing more than 90% of the world’s population, and is part of the Advent International portfolio. Further details are available at nielseniq.com
Our commitment to Diversity, Equity, and Inclusion
The organization is dedicated to building an inclusive workplace that reflects the diverse communities and markets it serves. It values diverse perspectives as a driver of innovation and high performance. All employment decisions are made without consideration of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected characteristic. Individuals who support inclusivity and equity are encouraged to join in creating meaningful impact.
AI in Recruitment
Artificial intelligence tools may be used during various stages of the hiring process, including résumé screening, candidate evaluations, interview coordination, job matching, communication assistance, and administrative tasks to enhance workflow efficiency. These tools are designed to support fair, consistent, and criteria-based assessments. Their use follows principles of fairness, transparency, human oversight, and inclusion. Humans retain full authority over final hiring decisions. The organization regularly evaluates its AI systems to reduce bias and comply with laws. Candidates may contact local HR for questions, accommodations, or to request human review where legally permitted. Additional information is available at the organization’s AI Safety Policies and Guiding Principles page.
Other
- Final hiring decisions are made exclusively by humans.
- Use of AI tools in recruitment is governed by principles of fairness, transparency, human oversight, and inclusion.
- Candidates may request human review where permitted by law.
