Senior Data Scientist

Senior Data Scientist

|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 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.

• 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

• 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

• 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 / Py Spark

• Flexible working environment
• Volunteer time off
• Linked In 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…