NielsenIQ: Principal Research Scientist - AI & Data Science — Bogota, DC, Colombia

About NielsenIQ

NielsenIQ, also known as NIQ, works in consumer intelligence and retail measurement. Its employer material describes using market information, consumer insights and analytics to help businesses understand buying behaviour. Its data operations address the accuracy and completeness of information behind client reports, while analytical services interpret that information. The business connects details about products and retail activity with broader views of markets, giving organisations evidence for understanding demand and making commercial decisions.

The position and its setting

NielsenIQ lists Principal Research Scientist - AI & Data Science in Bogota, DC, Colombia, under reference R26_0002135|CO. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 20 October 2026
• Brands: NielsenIQ
• Job Family: Data Science and Business Intelligence Generalist/Multidiscipline

Responsibilities and work described

• Research and develop new methodologies, research directions, prototype solutions, and quantify their improvement with rigorous scientific methods in the ML/AI space
• Own all the phases of an R&D project or process improvement, including conceptualization, design, prototyping, documentation, deployment, and monitoring
• Work: closely and collaborate with experienced teams in operations, technology, other data scientists, and internal stakeholders during all phases of a project
• Delivery: high quality, academic publication-level, documentation of new methodologies and best practices
• Engage with stakeholders on objectives, scope, execution, data exchange, and outcomes for assigned projects
• Participate in and actively contribute to multiple projects simultaneously

Essential requirements and candidate background

• Doctorate (Ph.D.) Degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or related field, with analytical expertise and technical skills
• At least 7 years of relevant experience
• Critical and innovative thinking coupled with analytical skills focused on experimentation and hypothesis testing
• High proficiency in Python programming (without AI assistance) and working with large-scale databases (e.g., SQL, Hadoop, pySpark, etc), statistical packages (Pandas, NumPy, Scikit-Learn), and unit testing
• Experience: AzureML, DataBricks, and CI/CD (Docker, Unix, AKS) best practices
• Able to work in virtual environment and comfortable with git (Github) processes, including PRs and code conflict resolution
• Communication, presentation and collaboration skills in the English language with a record of written materials and public presentations (e.g., papers, conferences, patents, tutorials, substack, etc)
• A continuously learner willing to experiment and adopt new technologies and tools

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Work arrangement: Hybrid
• Advertised location: Bogota, DC, Colombia

Benefits mentioned by the employer

• 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/

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Principal Research Scientist - AI & Data Science vacancy is not an offer for reference R26_0002135|CO; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to NielsenIQ

Applications follow the official employer page linked below.

Open the official NielsenIQ posting below and match the title and reference R26_0002135|CO.

Compare your qualifications and experience with the essential conditions for the Bogota, DC, Colombia position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• Hadoop
• CI/CD
• Docker
• AI/ML
• AI
• process improvement
• stakeholder management
• Git
• machine learning