Job Description

Job Description

You will work with an interdisciplinary and global R&D; team dedicated to the research, development, and deployment of recent 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

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

Essential:
- Masters (M.Sc.) or Doctorate (Ph.D.) degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or related field & experience, 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

📌 Lead Data Scientist (Vadodara)
🏢 Nielseniq
📍 Vadodara