Senior Data Scientist

NielsenIQ•Chicago, IL

7d•Remote

About The Position

Developing statistical, machine learning, and AI models to predict consumer behavior by integrating survey, household, and retail sales data. Leading the design, prototyping, and deployment of AI and machine learning models and algorithms to enhance product and marketing success predictions. Validating and calibrating models and algorithms to estimate the likelihood of success and volume potential of future products, ensuring accuracy and robustness. Automating key processes, developing tools to streamline existing workflows, and ensuring scalability and reproducibility of models. Collaborating with analytics teams to address custom client requests, offering recommendations on complex study designs, and delivering tailored data insights. Staying at the forefront of relevant fields (Statistics, Machine Learning, Operations Research, Marketing Science, Artificial Intelligence), continuously enhancing model performance with the latest techniques. Telecommuting permitted.

Requirements

Master’s degree in Marketing Science, Mathematics, Operations Research, Computer Science, Statistics, Financial, and Risk Management, or related and 3 years of experience required.

Responsibilities

Developing statistical, machine learning, and AI models to predict consumer behavior by integrating survey, household, and retail sales data.
Leading the design, prototyping, and deployment of AI and machine learning models and algorithms to enhance product and marketing success predictions.
Validating and calibrating models and algorithms to estimate the likelihood of success and volume potential of future products, ensuring accuracy and robustness.
Automating key processes, developing tools to streamline existing workflows, and ensuring scalability and reproducibility of models.
Collaborating with analytics teams to address custom client requests, offering recommendations on complex study designs, and delivering tailored data insights.
Staying at the forefront of relevant fields (Statistics, Machine Learning, Operations Research, Marketing Science, Artificial Intelligence), continuously enhancing model performance with the latest techniques.