Senior Data Scientist at NielsenIQ

Bogota, Capital District, RAP (Especial) Central, Colombia -

Full Time

Start Date

Immediate

Expiry Date

14 Aug, 26

Salary

11000000.0

Posted On

16 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Statistics, Data Cleaning, Data Validation, Azure, Databricks, Git, Econometrics, PySpark, Root-Cause Analysis, Data Aggregation

Industry

Software Development

Description

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 Want to keep up with the latest updates on our business and #LifeAtNIQ? Follow us on: LinkedIn | Instagram | Twitter | Facebook Job Description We are looking for a hands‑on Data Scientist who enjoys working deep in the data: cleaning, validating, stress‑testing, and improving complex datasets at scale. This role is not AI‑research focused — it is about statistical rigor, data quality, and real‑world consumer measurement problems. If you enjoy solving messy data problems, building reliable methodologies, and seeing your work directly influence product quality, 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 (But Not Required) 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 Career Site Team: Product Compensation: COP 8900000 - COP 11000000 - monthly

Responsibilities

The role focuses on cleaning, validating, and improving large-scale consumer behavioral datasets to ensure product accuracy. You will design statistical methodologies and partner with engineering teams to deploy data-driven solutions.