Senior Data Scientist

INGEPSY; Girardot; Presencial; COP 90.000.000 - 150.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Descripción de la vacante

NIQ is seeking a hands-on Senior Data Scientist to work with large-scale consumer and retail datasets, focusing on data quality, statistical methodologies, and data-pipeline validation. You will collaborate with data science, technology, and product teams to improve processes across cloud platforms.

This is not a traditional AI/ML modeling role but a statistics-driven, scalable problem-solver role. You will evaluate data preparation and validation methods, design new approaches, and develop

Formación

• 3–6 years of hands-on analytics experience as a Data Scientist or similar role.
• Strong foundation in statistics, mathematics, econometrics, or data science.
• Advanced proficiency in Python for data manipulation, validation, and analysis.
• Strong SQL skills and experience querying large, complex datasets.
• Experience cleaning, validating, aggregating, and ensuring data quality at scale.
• Hands-on experience with cloud environments, preferably Azure and Databricks.
• Experience with version control using Git.
• Ability to explain technical concepts clearly and work independently.

Responsabilidades

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

Conocimientos

Python

SQL

Statistics

Data cleaning

Cloud platforms

Git

Communication

Herramientas

Azure

Databricks

Descripción del empleo

Descripción del trabajo

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

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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