Lead D&T Data Scientist - Marketing Measurement - ...

Job Description OVERVIEW: Do you see patterns or opportunities that others don't see? Do you enjoy asking questions and analyzing data to deepen your knowledge? Do you like to challenge historical assumptions and recommend new ways to drive action based on data-driven insights? Do you like to find the best way to tackle a problem and share the approach with others? To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Lead Data Scientist at General Mills, you will apply your strong expertise in Statistics, Mathematics, Data Science, AI, Machine Learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with product owners, business partners, and other Data Scientists in the consumer marketing and media space to define a technical problem statement and hypothesis to test. In addition, you will develop efficient and accurate analytical models that drive impact and mimic business decisions. KEY ACCOUNTABILITIES Work closely with data science leadership, machine learning engineering, and business partners/product owners to develop optimization and machine learning models using best-in-class tools and technology. Provide data science leadership within a product team through strong partnership, actionable insights, strategic and tactical technical roadmap recommendations. Develop, validate, and maintain robust causal measurement strategies to quantify the effectiveness of various marketing channels, including Marketing Mix Models (MMM), Difference in Differences, Regression Discontinuity, and causal ML. Conduct in-depth statistical and econometric analysis to measure marketing effectiveness, forecast the impact of future marketing activities, and recommend optimal budget allocation strategies. Translate complex model insights and findings into clear, actionable recommendations for campaign planning, budget allocation, and marketing strategy to diverse stakeholders, including marketing, finance, and senior leadership. Design, recommend, and execute statistically-proven A/B Testing (

Created: 2026-01-22