Research Scientist

About the Position

We are seeking a Research Scientist to join our team and apply state-of-the-art AI/ML techniques to strategic global projects, primarily in the domain of Natural Language Processing (NLP). This role is ideal for someone who combines expertise in machine learning with the ability to connect with people and understand the broader business context.

Responsibilities

• Develop and apply machine learning innovations to business problems with minimal technical supervision.
• Assess your own and others’ results to understand their applicability in the real world.
• Understand stakeholders’ requirements and communicate results and conclusions accurately, clearly, and effectively.
• Perform feasibility studies and analyze data to determine the most appropriate solution.
• Work on various data challenges, ensuring simplicity, scalability, reproducibility, and maintainability within ML solutions and source code.
• Maintain and develop data and software with high-quality standards and minimal defects.
• Collaborate with technical colleagues on the integration and deployment of ML solutions.
• Encourage team building, motivation, and cultivate effective team relations.

Requirements

• Demonstrated senior-level experience in Machine Learning and Deep Learning using PyTorch.
• Experience performing Exploratory Data Analysis (EDA) with large datasets and writing production-grade code.
• Ability to understand scientific papers and develop the idea into executable code.
• Analytical mindset, problem-solving, and logical thinking capabilities.
• High level of interpersonal and presentation skills in English across cultures.
• Strong ability to meet deadlines.
• Keen to work as part of a diverse team of international colleagues in a global inclusive culture.
• Proficiency in Python, PyTorch, Git, pandas, sklearn, huggingface.
• A minimum of 3-5 years’ experience with evidence in a related ML field.

Nice to Have

• Master's degree and/or specialization courses in ML/DL/NLP. PhD in science is an added value.
• Experience in MLOps.
• Understanding and practice of Generative AI (prompt engineering, RAG).
• A practical grasp of databases (SQL, ElasticSearch) and Databricks.
• Experience in retail, consumer, ecommerce, business, FMCG domain.

We Offer

• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.
• Employee-Assistance-Program (EAP).

About the Company

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights-delivered with advanced analytics through state-of-the-art platforms-NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the Diversity and Inclusion page.

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: NIQ’s AI Safety Policies