Senior Data Scientist

Hands-on senior data scientist focused on data quality, statistical methodologies, sampling, and pipeline validation for large consumer and retail datasets. Design and prototype statistical approaches, develop validation and performance indicators, investigate data issues, and partner with product and engineering to deploy production solutions while documenting methodologies and communicating findings to stakeholders.

Summary Generated by Built In

Company 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

Job Description

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.

What You’ll Do

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

Qualifications

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

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://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?

Follow us on: LinkedIn | Instagram | Twitter | Facebook

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

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

Want to keep up with our latest updates?

Follow us on: LinkedIn | Instagram | Twitter | Facebook

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

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)
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
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

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.

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.
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.
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.