Postúlate en Kit Empleo: kitempleo.com.co/empleo/1ass06

You will work with an interdisciplinary and general R&D; team dedicated to the research, development, and deployment of new statistical/ML/AI methodologies to support a range of NIQ products/processes enhancements from within in the Data Science organization. We are looking for someone who can leverage advanced technologies – including statistical methods, machine learning, and artificial intelligence – to improve products/processes and, coupled with strong analytical skills, successfully deliver on R&D; tasks.
You must be a scientist at heart and have a passion for innovation, research & development (R&D;), and challenging problems
Job Description
Responsibilities
- 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.
- Deliver 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.

Qualifications
- Doctorate (Ph.D.) Degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or related field, with outstanding analytical expertise and strong technical skills. At least 7 years of relevant experience.
- Domain expert knowledge in multiple areas of the following: programming, software engineering / UI & UX / multivariate statistics (parametric/non-parametric) / machine learning / deep learning & Agentic AI / trend & time-series analysis / sampling theory.
- Critical and innovative thinking coupled with

Postúlate en Kit Empleo: kitempleo.com.co/empleo/1ass06

📌 Senior Data Scientist (Medellín)
🏢 Nielseniq
📍 Medellín