Senior Data Scientist

NielsenIQ

Washington (District of Columbia)

Hybrid

USD 120,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Job summary

NIQ is seeking a hands-on Senior Data Scientist to tackle data quality, sampling, and validation across large-scale consumer and retail datasets. This role emphasizes rigorous statistical methods and scalable data pipelines to support product decisions.

You will collaborate with data science, technology, and product teams to investigate data issues, validate outputs, and improve processes within cloud-based platforms.

Qualifications

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.

Responsibilities

Work hands-on with large-scale consumer and behavioral datasets, supporting measurement products across North America.
Evaluate data preparation, validation, and projection methodologies for improvement.
Design and prototype new statistical or data-driven approaches.
Develop end-to-end quality, validation, and performance indicators.
Partner with Product, Engineering, and global Data Science teams to support production deployment.
Investigate data issues, perform root-cause analysis, and recommend corrective actions.
Summarize findings and recommendations for technical and non-technical stakeholders.
Maintain documentation of methodologies, assumptions, and best practices.

Skills

3–6 years exp

Statistics

Python

SQL

Data quality

Cloud (Azure, Databricks)

Git

Communication

Tools

Azure

Databricks

Job description

Senior Data Scientist

R26_0019273|CO

Avenida Calle 100 No. 9A-45, Bogota, Colombia

Employees work in a hybrid mode #LI- Hybrid

Company Description

NIQ, the world’s leading consumer intelligence company, reveals new pathways to growth for retailers and consumer goods manufacturers. With operations in more than 100 countries, NIQ delivers the most complete and clear understanding of consumer buying behavior through an advanced business intelligence platform with integrated predictive analytics. NIQ delivers the Full View.

NIQ was founded in 1923 and is an Advent International portfolio company. For more information, visit NIQ.com

NIQ is 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.

What You’ll Do

Work hands‑on withlarge‑scale consumer and behavioral datasets, supporting measurement products used across North America
Evaluate existingdata preparation, validation, and projection methodologies, identifying opportunities for improvement
Design and prototypenew statistical or data‑driven approachesto address evolving market and measurement challenges
Developend‑to‑end quality, validation, and performance indicatorstied directly to product accuracy and reliability
Partner with Product, Engineering, and global Data Science teams tosupport production deploymentof new solutions
Investigate data issues, perform root‑cause analysis, and recommend corrective actions
Clearlysummarize findings and recommendationsfor technical and non‑technical stakeholders
Maintain clear documentation of methodologies, assumptions, and best practices

What We’re Looking For (Must‑Have)

3–6 years of experiencein a Data Scientist, Statistical Analyst, or similar hands‑on analytics role
Strong foundation instatistics, mathematics, econometrics, or data science
Advanced proficiency inPython(data manipulation, validation, analysis — not just modeling)
Strong working knowledge ofSQLand experience querying large, complex datasets
Experience withdata cleaning, validation, aggregation, and quality controlat scale
Hands‑on experience incloud environments, ideallyAzure and Databricks
Experience working withversion control(Git)
Ability to explain technical concepts clearly and work independently with minimal supervision

Nice to Have

Experience withconsumer, retail, CPG, panel, survey, or transactional data
Exposure toprojection methods, weighting, sampling, or measurement frameworks
Experience supportingproduct development or data products
Background ineconomics, statistics, or applied research
Familiarity with Spark / PySpark

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://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.

For more information, visit NIQ.com

Want to keep up with our latest updates?

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

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

For more information, visit NIQ.com

Want to keep up with our latest updates?

Our commitment to Diversity, Equity, and Inclusion

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