In 100 countries around the world, NielsenIQ provides clients the most complete understanding of how the FMCG market evolves and what consumers buy.
As a general leader in measurement and information, we believe providing our clients a precise understanding of the consumer is the key to making the right decisions -- decisions that can lead to profitable growth.
At NielsenIQ, we're always innovating to keep pace with emerging market trends and the increasingly diverse, demanding and connected consumer.
Job Description
On a daily basis you'll be expected to:
Work across functions, including with other data scientists specializing it different areas, on various projects, including R&D; and automation to solve the business needs of the day
Translate Clients' and Product Team's requirements to actionable solutions or products
Ideate and develop solutions for the product innovation pipeline
Define the given business problem as a scientific research problem
Research solutions, identify and understand the relevant internal data, set and execute experiments, prototype the solution and support Technology team on productionalizing them
Build statistical and analytical models (including ML/AI approaches) as prototypes and POCs to address specific client business needs
Test and optimize those models using big data.
Fine tune parameters and iterate
Document the solution and experimentation to arrive to it, and create specifications for Technology team to productionize it
Read, write, comment, maintain, and share legible and quality computer code utilized in prototyping and suctioning
Qualifications
Bachelors or Masters degree or higher in Computer Science,



Data Science, Statistics, Mathematics, Engineering or related field, with outstanding analytical expertise and strong technical background.
PhD level in the area is a plus.
6+ years of experience in data science/research
Experience in independently leading and owning end-to-end research related projects
Vast knowledge of statistical and machine learning methodologies: Sampling theory, Probability Theory, Variation analysis, Outlier identification techniques, Regressions, Classification, Time series analysis, Clustering, Monte Carlo simulations, Neural Networks, etc.
Proficient in Python and its most common data science libraries
Good communication and presentation skills, expressing and defending the delivered work
Experience in designing experiments, prototyping as well as supporting pilot programs for R&D; purposes
Experience with cloud computing and storage software, ETL (preferred)
Experience with Github or similar version control platforms (preferred)
Domain in managing clients and proven experience of solving complex client requirements (preferred)
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 resume 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.
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 .
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📌 Sr Data Scientist (Research Focus) (Bogotá)
🏢 Nielseniq
📍 Bogotá