General Mills · 2 weeks ago
Lead D&T Data Scientist - Marketing Mix Model (Minneapolis Preferred, Remote Eligible)
General Mills is a leading food company that seeks a Lead Data Scientist to enhance decision-making through advanced analytics. The role involves developing and maintaining marketing mix models, conducting statistical analyses, and collaborating with various stakeholders to provide actionable insights for marketing strategies.
Food and BeverageFood ProcessingManufacturingSnack FoodWholesale
Responsibilities
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 (“Test & Measurement”) for Marketing campaigns
Counsel and advise business partners on technical solutions
Serve as a senior leader as part of the data science leadership team- contribute to technical strategy, best practices, and team development
Coach junior data scientists on key technical and domain topics through solution reviews and mentoring
Responsible for monitoring and improving model performance metrics in terms of accuracy, optimal / near-optimal recommendations, with feedback incorporated from business partners
Be a part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists
In addition to project-based work, you will be expected to participate in activities such as strategic planning and technical standards definition, modeling documentation
Qualification
Required
6+ years of professional experience working as a hands-on coding Data Scientist with 4+ years of professional experience working as a hands-on coding Data Scientist building Marketing Mix Models (MMM) and Marketing Attribution Models
Bachelor's Degree in Mathematics, Statistics, Data Science, Operations Research, Econometrics, or related quantitative discipline required
Expert-level programming in Python and SQL
Expertise in causal modeling principles (DAG design, assumptions of key designs, falsification), regression modeling (panel, time series, ridge), Bayesian modeling (e.g., PyMC), marketing mix model frameworks (PyMC, Meridian, Robyn), Ensemble (Gradient Boosting, XGBoost)
Comfortable working with large datasets & writing complex SQL queries
Proven track record of partnership with marketing and business leaders, influencing key marketing decisions
Highly adaptable, curious, and willing to work independently on complex and challenging problems
Bias for action with the ability to deliver outstanding results through task prioritization and time management
Experience with cloud-based AI platforms
Preferred
Graduate degree in Statistics, Mathematics, Operations Research, Applied Economics, or related quantitative discipline
Professional Data Science experience at a Marketing Analytics agency or Consulting company
Benefits
Foundation of health benefits
Retirement and financial wellbeing
Time off programs
Wellbeing support and perks
Annual incentive program
Company
General Mills
General Mills is a food company that manufactures and markets branded consumer foods.
H1B Sponsorship
General Mills has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (19)
2024 (27)
2023 (26)
2022 (29)
2021 (21)
2020 (31)
Funding
Current Stage
Public CompanyTotal Funding
$2.7B2024-10-15Post Ipo Debt· $2.7B
1928-11-30IPO
Leadership Team
Recent News
2026-01-07
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