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Senior Data Scientist – Client Analytics
We are looking for a disciplined, curious, and self‐starting data scientist who values trusted data, analytical rigor, and clear execution.
The role supports our US Data Science initiatives and requires passion for learning, multi‐sourced data, data quality, statistical measurement, automation, efficiency, and consumer behavior.
You proactively take ownership of your analyses, work effectively with complex, multi‐sourced data, and apply sound statistical and analytical methods to solve well‐defined business and client problems.
You care deeply about data quality, documentation, and deliver accurate, timely insights, and communicate clearly with both technical and non‐technical partners.
Responsibilities
Own detailed analytical workstreams to address defined business and client questions
Manage and balance multiple projects while meeting quality, accuracy, and delivery standards
Represent Data Science in cross‐functional interactions and project discussions
Support end‐to‐end implementation of analytical solutions, from analysis through delivery
Evaluate existing methodologies and processes to ensure appropriate application
Document analyses, findings, assumptions, and recommendations clearly and concisely
Detect, troubleshoot, and resolve data, system, or analytical anomalies within assigned workExplain technical concepts and results to teams with varying levels of analytical expertise
Continuously develop technical, analytical, and domain expertise
Qualifications
Experience




Bachelor's or Master's degree in a quantitative discipline (e.g., Statistics, Mathematics, Economics, Data Science, Engineering)
3–5 years of professional experience in a quantitative or analytics‐driven role
Skills
Strong quantitative aptitude with proven data analysis and problem‐solving skills
Proficiency in Python and SQL
Experience working with large, complex datasets
Solid understanding of analytical processes and methodologies
Strong verbal, written, and presentation skills
Effective planning and organizational skills
Ability to work independently and collaboratively in a team environment
Demonstrated curiosity and commitment to continuous learning
Benefits
Versátil working environment
Volunteer time off
LinkedIn Learning
Employee Assistance Program (EAP)
EEO & Diversity Statement
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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📌 Senior Data Scientist – Client Analytics (Bogotá)
🏢 Nielseniq
📍 Bogotá