Ipsos MMA is a leader in unified marketing measurement & optimization, recognized by Forrester and Gartner, which helps global brands plan, measure, and optimize investments. We are searching for a hands-on Machine Learning Scientist to help design our next generation of analytics systems.
As part of our NextGen investment initiative, we’re looking for experienced professionals eager to work in a dynamic, applied research environment centered on predictive analytics — developing the platforms that will shape the future of marketing analytics.
You have a strong academic background in a quantitative discipline and hands-on experience designing complex analytics systems. You understand the mathematics behind modern statistical and machine learning methods deeply enough to reason about them from first principles and to help invent new ones. You will partner closely with our advanced global data science team to co-own our innovation agenda for unified marketing analytics (marketing mix modeling (MMM), attribution, and experimentation) and to help build our NextGen platforms. Prior experience in marketing measurement is not required; what matters is that you grasp the underlying math and can contribute original methodological ideas. You are comfortable writing code to prototype your ideas and collaborating with development teams to bring them to life, and you can document your methods in clear, rigorous scientific writing. You are eager to use frontier AI — such as generative and agentic systems — to enhance our methods of modeling, experimentation, and innovation.
