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Senior Data Scientist – Consumer Insights

NielsenIQ · Bogota

Nuevo
Hybrid Senior 🇬🇧 English
Python SQL Azure Databricks Git Spark PySpark

Descripcion del puesto

About the role

We are looking for a hands‑on Senior Data Scientist who will work with large‑scale consumer and retail datasets to ensure data quality, validate statistical methodologies and support measurement products used across North America.

Key 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.

Required profile

  • 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 for data manipulation, validation and 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.

Required skills

  • Python
  • SQL
  • Azure
  • Databricks
  • Git
  • Spark
  • PySpark

What we offer

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee Assistance Program (EAP)

Questions fréquentes

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Publicado hace 13 horas

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NielsenIQ

Bogota