General Mills · 1 day ago
Lead Data Scientist - Operations Research (Minneapolis Preferred, Remote Eligible)
United States
Full-time
Remote
Senior Level, Lead/Staff
$127K/yr - $211K/yr
6+ years expGeneral Mills is a leading food company that aims to provide data-driven insights to enhance decision-making. As a Lead Data Scientist, you will leverage your expertise in data science and machine learning to develop advanced analytics solutions and collaborate with cross-functional teams to optimize business 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 through strong partnership, actionable insights, strategic and tactical technical roadmap recommendations
Construct production-ready, reusable, large-scale, or scalable complex optimization, simulation & machine learning models that provide real-time insights aligning with General Mills technology standards
Design and development of a modelling framework and architecture for deterministic/combinatorial optimization and advanced machine learning to solve complex problems in a variety of areas like supply–demand planning, logistics, trade optimization, pricing, etc
Be a storyteller to explain the ‘why and how’ of data-driven recommendations to cross-functional teams
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 relevant data science experience with at least 4 years of experience in optimization
Bachelor's Degree required in any of the quantitative fields like operations research/statistics / industrial engineering, etc
High proficiency with Python programming in developing optimization models using different types of commercial solver suites
Hands-on experience building IP / MIP models with sound knowledge of supporting algorithms
Comfortable working with large and dynamic Data Frames & writing complex SQL queries
Highly adaptable, curious, and willing to work independently on complex and challenging problems
Proven track record of partnership with business leaders, influencing key decisions
Bias for action with the ability to deliver outstanding results through task prioritization and time management
Preferred
Master's degree in any of the quantitative fields (Operations research / Statistics / Industrial engineering) or computer science with commensurate work experience in supply chain, trade, pricing technologies or data science
Relevant experience in Data Science with a preference for optimization/operations research experience
Experience with Google Cloud Platform or other cloud platforms
Experience in building optimization and simulation models using a commercial solver engine like Gurobi on a cloud stack 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
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
Asheesh Saksena
Chief Growth Officer
Jacqueline R. Williams Roll
Chief Human Resources Officer
Recent News
2026-01-07
Company data provided by crunchbase