Senior Data Scientist - Operations Research

Company: General Mills
Location: Minneapolis
Posted on: April 1, 2025

Job Description:

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 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 technical problem statements and hypotheses to test. In addition, you will develop efficient and accurate analytical models that 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, and 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 develop modeling framework and architecture for deterministic/combinatorial optimization and advanced machine learning to solve complex supply chain problems in 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 improving model performance metrics in terms of accuracy and optimal/near-optimal recommendations with feedback incorporated from business partners.
• Design, prototype, and build next-generation supply chain engines and services delivering productivity improvements and cost reductions using advanced modeling expertise and literature research.
• Be a part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists.
• In addition to project-based work, participate in activities such as technical standards definition and modeling documentation.REQUIRED QUALIFICATIONS
• Master's degree in a quantitative field (Operations Research / Statistics / Industrial Engineering) or Computer Science with commensurate work experience in supply chain technology or data science.
• 4+ years of relevant data science experience with at least 2 years of experience in supply chain optimization / operations research.
• High proficiency with Python programming in developing optimization models using different types of 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.PREFERRED QUALIFICATIONS
• Experience with Google Cloud Platform or other cloud platforms.
• Experience in building optimization and simulation models in supply chain and logistics operations/warehouse using commercial solver engines like Gurobi on a cloud stack is a plus.ADDITIONAL CONSIDERATIONS
• International relocation or international remote working arrangements (outside of the US) will not be considered.
• Applicants for this position must be currently authorized to work in the United States on a full-time basis. General Mills will not sponsor applicants for this position for work visas.
• The preferred location for this role is Minneapolis, MN; however, remote work-at-home applications within the United States will be considered.COMPANY OVERVIEWWe exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives, and reimagine new possibilities every day. We look for people who want to bring their best - bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.SALARY RANGEThe salary range for this position is $106,800.00 - $178,100.00 / Annually. At General Mills, we strive for each employee's pay at any point in their career to reflect their experiences, performance, and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial well-being, time off programs, well-being support, and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including individual and organizational performance.
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Keywords: General Mills, Minneapolis , Senior Data Scientist - Operations Research, Other , Minneapolis, Minnesota