Senior Data Scientist

About the Position

We are looking for a hands-on Senior Data Scientist who enjoys working with large-scale consumer and retail datasets to solve complex measurement and analytics challenges. This role focuses on data quality, statistical methodologies, sampling approaches, and data pipeline validation, helping ensure the accuracy and reliability of products that support key business decisions.

You will work closely with data science, technology, and product teams to investigate data issues, design analytical approaches, validate outputs, and improve processes across cloud-based data platforms. This is not a traditional AI/ML modeling role. Instead, it is ideal for someone who enjoys working with complex, disaggregated datasets, applying statistical rigor, and building scalable solutions that directly impact consumer insights and product development.

If you are energized by solving ambiguous analytical problems, improving data reliability, and translating complex findings into actionable recommendations, this role is for you.

Responsibilities

• Work hands-on with large-scale consumer and behavioral datasets, supporting measurement products used across North America
• Evaluate existing data preparation, validation, and projection methodologies, identifying opportunities for improvement
• Design and prototype new statistical or data-driven approaches to address evolving market and measurement challenges
• Develop end-to-end quality, validation, and performance indicators tied directly to product accuracy and reliability
• Partner with Product, Engineering, and global Data Science teams to support production deployment of new solutions
• Investigate data issues, perform root-cause analysis, and recommend corrective actions
• Clearly summarize findings and recommendations for technical and non-technical stakeholders
• Maintain clear documentation of methodologies, assumptions, and best practices

Requirements

What We’re Looking For (Must-Have)

• 3–6 years of experience in a Data Scientist, Statistical Analyst, or similar hands-on analytics role
• Strong foundation in statistics, mathematics, econometrics, or data science
• Advanced proficiency in Python (data manipulation, validation, analysis - not just modeling)
• Strong working knowledge of SQL and experience querying large, complex datasets
• Experience with data cleaning, validation, aggregation, and quality control at scale
• Hands-on experience in cloud environments, ideally Azure and Databricks
• Experience working with version control (Git)
• Ability to explain technical concepts clearly and work independently with minimal supervision

Nice to Have

• Experience with consumer, retail, CPG, panel, survey, or transactional data
• Exposure to projection methods, weighting, sampling, or measurement frameworks
• Experience supporting product development or data products
• Background in economics, statistics, or applied research
• Familiarity with Spark / PySpark

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 NIQ Diversity and Inclusion page.