Sr. Data Scientist - Operations Research (Minneapolis Preferred, Remote Eligible)

General Mills • Minneapolis, MN

150d • $108,900 - $181,700 • Remote

About The Position

As a Senior Data Scientist at General Mills, you will apply your strong expertise in 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 supply chain space to define a technical problem statement and hypothesis to test. In addition, you will develop efficient and accurate analytical models that mimic business decisions.

Requirements

• 4+ years of relevant data science experience with at least 2 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.
• Bias for action with the ability to deliver outstanding results through task prioritization and time management.

Nice To Haves

• Master's degree in any of the quantitative fields (Operations research / Statistics / Industrial engineering) or computer science with commensurate work experience in supply chain technology or data science.
• Relevant experience in Data Science with a preference for supply chain optimization/operations research experience.
• Experience with Google Cloud Platform or other cloud platforms.
• Experience in building optimization and simulation models in supply chain and logistics operations/warehouse using a commercial solver engine like Gurobi on a cloud stack.

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.
• 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 modelling framework and architecture for deterministic/combinatorial optimization and advanced machine learning to solve complex supply chain problems in a variety of areas like supply-demand planning, procurement, manufacturing, logistics, etc.
• Be a storyteller to explain the 'why and how' of data-driven recommendations to cross-functional teams.
• Responsible for monitoring and improvement of model performance metrics in terms of accuracy, optimal / near optimal recommendations, with feedback incorporated from business partners.
• Design, prototype, and build next-generation supply chain engines and services delivering productivity improvement and cost reductions using advanced modelling expertise and literature research.
• Be a part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists.
• Participate in activities such as technical standards definition and modelling documentation.

Benefits

• Competitive Total Rewards package focusing on overall well-being.
• Foundation of health benefits.
• Retirement and financial wellbeing.
• Time off programs.
• Wellbeing support and perks.
• Eligibility to participate in an annual incentive program.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Food Manufacturing
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees