Senior Data Scientist - Data Quality & Validation (Hybrid)

NielsenIQ; Bogotá; Hybrid; COP 90,000,000 - 150,000,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Job summary

NielsenIQ is seeking a hands-on Senior Data Scientist in Bogotá to tackle large-scale consumer and retail datasets, focusing on data quality, validation, and robust statistical methods. You will work with cross-functional teams to design scalable data solutions and ensure reliable outputs for decision-making.

The role requires strong Python/SQL skills, cloud experience (Azure/Databricks), and the ability to communicate complex findings clearly.

Qualifications

• Strong foundation in statistics, mathematics, econometrics, or data science.
• Advanced proficiency in Python for data manipulation, validation, and analysis, not only modeling.
• Strong SQL skills 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 with version control (Git).
• Ability to explain technical concepts clearly and work independently.

Responsibilities

• Work hands-on with large-scale consumer and behavioral datasets across North America.
• Evaluate data preparation, validation, and projection methodologies; identify improvements.
• Design and prototype new statistical or data-driven approaches for evolving challenges.
• Develop end-to-end quality, validation, and performance indicators tied to product accuracy.
• 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.
• Summarize findings and recommendations for technical and non-technical stakeholders.
• Maintain clear documentation of methodologies and best practices.

Skills

statistics and econometrics

Python

SQL

data quality and validation

cloud platforms

Git

communication of technical findings

Tools

Azure

Databricks

Git

Job description

NielsenIQ is seeking a hands-on Senior Data Scientist in Bogotá to tackle large-scale consumer and retail datasets, focusing on data quality, validation, and robust statistical methods. You will work with cross-functional teams to design scalable data solutions and ensure reliable outputs for decision-making.

The role requires strong Python/SQL skills, cloud experience (Azure/Databricks), and the ability to communicate complex findings clearly.