General Mills · 3 hours ago
Lead D&T Data Scientist - Marketing Measurement - Remote Eligible
United States
Full-time
Remote
Senior Level, Lead/Staff
$127K/yr - $211K/yr
5+ years expGeneral Mills is seeking a Lead Data Scientist – Marketing Measurement to leverage data and causal methods for optimizing marketing decisions and budgets. The role involves developing Marketing Mix Models, conducting statistical analysis, and collaborating with marketing teams to translate insights into actionable strategies.
Food and BeverageFood ProcessingManufacturingSnack FoodWholesale
No H1B
Responsibilities
Develop, validate, and maintain robust Marketing Mix Models (MMM) and related marketing effectiveness models to quantify the impact of media and non-media drivers on business outcomes
Design and implement causal measurement strategies, including approaches such as Difference-in-Differences, Regression Discontinuity, and causal ML, to estimate incremental impact
Conduct in-depth statistical and econometric analysis to measure marketing effectiveness, forecast future performance, and inform investment and scenario planning
Design, recommend, and execute statistically rigorous A/B and multivariate tests (“Test & Measurement”) for marketing campaigns
Recommend optimal budget allocation and channel mix strategies based on model outputs and experiment results
Collaborate with machine learning engineering and data engineering to ensure models are production-ready, monitored, and continuously improved
Translate complex model insights into clear, actionable recommendations for diverse stakeholders, including marketing, media, and senior leadership
Partner with business and product owners to frame ambiguous problems, shape learning agendas, and prioritize high-impact measurement initiatives
Provide thought leadership on marketing effectiveness and help shape how General Mills measures and learns from its marketing investments
Provide data science leadership within a product/team context, including roadmap input, technical standards, and best practices
Coach and mentor junior data scientists, providing guidance on solution design, methods, and domain-specific techniques
Contribute to the broader data science community at General Mills through knowledge sharing, documentation, and collaboration
Qualification
Required
Graduate degree (Master's or PhD) in Mathematics, Statistics, Data Science, Operations Research, Econometrics, Applied Economics, Computer Science, or a related quantitative field with 5+ years of professional experience as a hands-on coding Data Scientist, or
Bachelor's degree in a related quantitative field with 7+ years of professional experience as a hands-on coding Data Scientist
Substantial, real-world experience with Marketing Mix Modeling: Hands-on responsibility for building, refining, or maintaining MMM (or very closely related marketing effectiveness models) that have been used to guide budget allocation or channel strategy
Expert-level programming in Python and SQL, including demonstrated experience working with large, complex datasets and writing advanced SQL queries
Deep understanding of causal modeling principles (e.g., DAG design, assumptions and falsification, Difference-in-Differences, Regression Discontinuity) and regression modeling (e.g., panel data, time series, regularized regression such as ridge)
Experience with Bayesian modeling (e.g., PyMC) and MMM / marketing effectiveness frameworks (e.g., PyMC-based MMM, Meridian, Robyn, or similar)
Familiarity with modern machine learning methods, such as Gradient Boosting / XGBoost, and how to integrate these into broader modeling solutions
Experience working in cloud-based data and AI environments
Proven track record of influencing marketing and business decisions using MMM and other measurement approaches, including surfacing insights and tradeoffs to senior stakeholders
Ability to translate complex analytical and statistical concepts into clear narratives, visualizations, and recommendations for non-technical audiences
Highly curious, adaptable, and comfortable working independently on complex, ambiguous problems, with a strong bias for action and effective prioritization and time management
Preferred
Experience in marketing analytics agencies, consulting firms, or in-house media/marketing effectiveness teams
Experience with MLOps practices for analytical models (versioning, monitoring, performance tracking) is a plus
Benefits
Health benefits
Retirement and financial wellbeing
Time off programs
Wellbeing support
Perks
Annual incentive program
Company
General Mills
General Mills is a food company that manufactures and markets branded consumer foods.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$2.7B2024-10-15Post Ipo Debt· $2.7B
1928-11-30IPO
Leadership Team
Asheesh Saksena
Chief Growth Officer
Jacqueline R. Williams Roll
Chief Human Resources Officer
Recent News
2026-02-06
Company data provided by crunchbase