Machine Learning Engineer

Nielsen's International R&D team within Data Science's Audience Measurement organization is seeking a Machine Learning Engineer to join their dynamic team. This role focuses on applying and enhancing Nielsen's successful products in digital advertising and content measurement. As a Machine Learning Engineer, you'll be primarily involved in data engineering tasks within the R&D process, working on developing and refining data models for various purposes including imputation and data correction.

The position offers an opportunity to work with cross-functional teams on designing and implementing new audience measurement methodologies. You'll be part of a team that defines and designs product methodologies, conducts research studies, and develops models to integrate different data sources. The ideal candidate should have a strong foundation in Python programming with machine learning experience, along with an educational background in Statistics, Computer Science, Applied Mathematics, or Engineering.

The role requires someone who can thrive in a fast-paced environment, work independently, and maintain a big-picture perspective while attending to details. You'll be contributing to complex projects involving multivariate statistics, trend analyses, and sampling automation. The position offers exposure to big data technologies and the opportunity to work with global cross-functional teams.

Working in a hybrid setting in Bangalore, you'll be part of a company that's at the forefront of audience measurement and analytics. This role provides an excellent opportunity for someone passionate about applying machine learning and data engineering skills to solve real-world measurement challenges in the advertising and content industry.