As a Senior Data Scientist within the Data Science Methods team in the NIQ Product organization, you will help define and support 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.
Job DescriptionSupport 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 generalization.
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 team as main users of our solutions.
Engage with stakeholders on scope, execution, data exchange, and outcomes for assigned projects.
Participate in multiple projects simultaneously.
Qualifications
Requirements:
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, optimization, bias reduction, indirect estimation, data aggregation techniques, automation, and generalization.
Good data visualization 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 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, analyze, and interpret large data sources.
Strong communication/writing skills with good 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.
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
Skills Required
- Bachelor’s, master’s, or PhD degree in Statistics, Mathematics, Social Science, Operations Research, Engineering, Computer Science, Biology, Physics, or another hard science
- At least 3 years of relevant work experience
- Experience with trend analysis, multivariate statistics, sampling, optimization, bias reduction, indirect estimation, data aggregation, automation, and generalization
- Strong data visualization skills, including creating clear and compelling charts and graphs
- Proficiency in Python, including Pandas, Polars, NumPy, and Scikit-Learn
- Familiarity with Python standard-library modules, especially unittest and argparse
- Experience with Apache Spark or other big-data processing solutions
- Experience with cloud computing and storage; Microsoft Azure preferred
- Ability to manipulate, analyze, and interpret large data sources
- Strong English communication and writing skills
- Experience with NIQ methodologies, data collection, platforms, research processes, and operations
- Experience applying machine learning to prediction and classification
- Understanding of neural networks and deep-learning frameworks such as TensorFlow and PyTorch
- Knowledge of GenAI, agentic AI, LLM applications, and related programming packages
- Experience with Docker and the Linux command line
NielsenIQ Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NielsenIQ and has not been reviewed or approved by NielsenIQ.
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Parental & Family Support — Public materials highlight paid parental leave in the U.S., with additional paid disability time for birth parents. Parental leave is positioned as a standout element of the package.
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Leave & Time Off Breadth — Unlimited or flexible PTO is referenced alongside paid holidays and sick leave, providing broad time-off options in many roles. Actual use can vary by team norms, but the formal breadth is notable.
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Flexible Benefits — Work-from-home and hybrid arrangements are supported in many roles, with remote-friendly practices described across business lines. Flexibility is frequently positioned as a meaningful advantage.
NielsenIQ Insights
What We Do
NielsenIQ is the industry leader in global measurement and data analytics, and the most trusted source for retail and consumer intelligence. We deliver the complete truth to retailers, manufacturers, and our partners through our comprehensive data sets and powerful insights. We enable businesses to make critical decisions confidently, accelerating growth and optimizing performance.
Why Work With Us
We empower companies around the world to make bold decisions and transform their business with trusted data, solutions, and insights. Joining NielsenIQ means experiencing countless learning opportunities and gaining numerous pathways for growth.
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