Job Description As a Data Scientist on our team, you will: Responsibilities Design and deploy end‑to‑end machine learning solutions to solve diverse business challenges such as structuring and extracting insights from text data, inferring product attributes, detecting anomalies, matching products across catalogs, and automating visual tasks using computer vision on millions of records. Maintain and optimize existing models to improve performance and maximize business impact. Collaborate cross‑functionally with product managers, data analysts, software engineers, DevOps, and solution architects to translate ideas into scalable solutions. Integrate ML models into business processes, working closely with multidisciplinary development teams. Continuously grow technical expertise, staying up to date with the latest tools, frameworks, and best practices in data science. Document model development workflows to ensure reproducibility and transparency. Communicate complex technical concepts clearly and effectively to non‑technical stakeholders throughout the development lifecycle. Qualifications Proficiency in Python and its data science ecosystem (NumPy, pandas, matplotlib, seaborn, scikit‑learn, TensorFlow and/or Keras). At least 3‑4 years of hands‑on experience in data science roles, with a focus on natural language processing (e.g., categorization, named entity recognition) and computer vision (e.g., image classification, object detection). Strong coding practices, including writing clean, well‑documented, and maintainable code. Experience with version control systems, such as Git. Solid understanding of relational databases and SQL. Excellent communication skills in English, both written and verbal. Proven ability to collaborate and present to stakeholders with varying levels of technical expertise. Experience with Azure ML Workspace or other cloud‑based ML platforms. Experience with LLM tools such as PromptFlow, LangChain, LangGraph. Familiarity with spaCy and Hugging Face Transformers. Experience working with architects, test engineers, platform engineers, and other data scientists in a collaborative environment. Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee‑Assistance‑Program (EAP) Additional Information 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 as permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ 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. 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 https://nielseniq.com/global/en/news-center/diversity-inclusion. #J-18808-Ljbffr