Senior Data Scientist at NielsenIQ

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

Full Time

Start Date

Immediate

Expiry Date

27 Sep, 26

Salary

0.0

Posted On

29 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Sql, Data Analysis, Problem Solving, Quantitative Aptitude, Statistical Measurement, Large Dataset Management, Analytical Methodologies, Presentation Skills, Planning, Organizational Skills, Collaboration

Industry

Software Development

Description

Company Description R26_0004637 Our NielsenIQ teams empower our clients to make bold decisions and transform their businesses in trusted data, solutions, and insights designed to drive innovation and growth. The NielsenIQ North America Data Science team is passionate about solving complex client challenges and providing data-driven, actionable, timely, and innovative solutions. This Senior Data Scientist position was created to support our US Data Science initiatives. This position requires someone who is passionate about learning, multi sourced data, data quality, statistical measurement, automation, efficiency, and consumer behavior. About You You are a disciplined, curious, and self‑starting data scientist who values trusted data, analytical rigor, and clear execution. 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. You communicate clearly with both technical and non‑technical partners, collaborate effectively across teams, and are motivated to continuously deepen your expertise in NIQ data assets, measurement concepts, and scalable analytics. Job Description 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 work. Explain 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. 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://nielseniq.com/global/en/info/niqs-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: Technology

Responsibilities

Own detailed analytical workstreams to solve business and client problems using multi-sourced data. Manage end-to-end implementation of analytical solutions and communicate technical results to cross-functional partners.