Job Description

ABOUT THE JOB

As a Senior Data Scientist within the Data Science Methods team in the NIQ Product organisation, you will help define and support the development of new products and methods and improvement initiatives. This position focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures.

RESPONSIBILITIES

• Support definition and execution of analyses targeting innovation initiatives, development and implementation of methodologies, standards, and KPIs.

• Prototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalisation.

• Test-driven development of scalable data processing applications.

• Deliver documentation of new methodologies and best practices.

• Collaborate with an experienced team of Developers and Data Scientists.

• Support various Operations teams as main users of our solutions.

• Engage with stakeholders on scope, execution, data exchange, and outcomes for assigned projects.

• Participate in multiple projects simultaneously.

REQUIREMENTS

Essential:

• B.S., Masters, or PhD degree in Statistics, Mathematics, Social Science, Operation Research, or other hard sciences (e.g., Engineering, Computer Science, Biology, Physics, etc.) with outstanding analytical expertise and strong technical skills.

• At least 3 years of relevant work experience.

• Experience in trend analyses, multivariate statistics (parametric/non-parametric), sampling, optimisation, bias reduction, indirect estimation, data aggregation techniques, automation, and generalisation.

• Good data visualisation skills - ability to create clear and compelling charts and graphs

• Proficient in Python programming language, including data analysis and statistical packages (Pandas, Polars, NumPy, Scikit-Learn). Familiarity with the Python standard library, especially unittest and argparse modules.

• Experience with Apache Spark or other big data processing solutions.

• Experience with cloud computing and storage (MS Azure preferred).

• Ability to manipulate, analyse, and interpret large data sources.

• Strong communication/writing skills in English.

Preferred:

• Experience in NIQ methodologies, data collection, platforms, research processes, and operations,

• Experience in machine learning (appropriate application for prediction and classification),

• Deep Learning - understanding of neural networks and deep learning frameworks like TensorFlow and PyTorch,

• GenAI and AgenticAI - knowledge of available applications and programming packages for implementation of LLM based solutions and data processing automation,

• Experience with the Docker and Linux command line.

WHAT WE OFFER

• Benefit package: Multisport/Medicover sport card, private medical coverage, life insurance, Benefit platform allowing to purchase cinema and theatre tickets, and more,

• Additional days off and recognition of special moments in your life,

• Stable working environment with employment contract,

• A possibility to create individual career paths, additional training,

• A possibility to engage in charity actions and participation in numerous sport and social activities organised within the company,

• Modern office in a great location,

• Work in a hybrid model: part of the week you work from home (home office), a part from the office. Therefore we provide all the necessary equipment to perform your duties from home.

#LI-Hybrid

Additional Information

Our Benefits

• Flexible working environment

• Volunteer time off

• LinkedIn Learning

• Employee-Assistance-Program (EAP)

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: https://nielseniq.com/global/en/info/niqs-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.

For more information, visit NIQ.com

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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 https://nielseniq.com/global/en/news-center/diversity-inclusion