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COMPANY OVERVIEW

We 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.​

At General Mills, we make the food the world loves. Behind every great decision is great data, and we are investing in the people, platforms, and AI capabilities that help turn insight into action.

We are hiring a Senior Data Scientist to help shape the next generation of advanced analytics and AI solutions across the enterprise. In this role, you will partner with business stakeholders, product owners, and technical teams to identify high-value opportunities, develop scalable machine learning solutions, and build reusable frameworks that strengthen how data science work gets done across General Mills.

This is an exciting opportunity for someone who enjoys both building and influencing: building models, frameworks, and AI-enabled solutions, while also helping teams make smarter, faster, data-driven decisions.

• Partner with data science leaders, AI engineering teams, and business stakeholders to identify, prioritize, and deliver high-impact AI and machine learning use cases

• Design, prototype, and scale advanced analytics and AI solutions using best-in-class tools and technologies

• Frame business problems as measurable data science opportunities and translate them into practical, value-focused solutions

• Build production-ready, reusable, and scalable models that generate timely, actionable insights

• Work across semi-structured data use cases, including problem framing, data curation, model development, and evaluation

• Monitor model performance, incorporate stakeholder feedback, and continuously improve solution effectiveness

• Help define and standardize data science ways of working, including common processes, reusable assets, frameworks, and best practices

• Communicate recommendations clearly and persuasively, helping partners understand the why behind the work and trust the path forward

• Contribute to a strong team culture by collaborating, sharing ideas, asking questions, and supporting other data scientists

• You will work on cutting-edge AI initiatives that are already delivering business value

• You will help build the internal foundations, standards, and reusable frameworks that make AI adoption faster and more effective across the company

• 5+ years of experience in data science, decision sciences, or a related quantitative field

• Bachelor\'s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field

• Strong foundation in machine learning, statistical thinking, and/or analytical problem-solving

• Strong proficiency in Python and SQL

• Experience working with complex databases and modern data science tooling

• Ability to spot questionable data, investigate issues, and improve the overall solution

• Strong communication and stakeholder management skills, with the ability to translate business needs into technical solutions

• Experience with cloud platforms such as GCP or similar environments

• Master\'s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field

• Experience building large-scale AI or machine learning models

• Some experience building AI solutions, including hands-on work with newer AI or agentic capabilities using Python or a similar programming language

• Experience in operational or commercial business environments

• Exposure to machine learning engineering practices and coding standards that support scalable, production-minded solutions

• A balance of deep data science expertise and practical engineering exposure

• Curiosity about where AI can create value and the discipline to prioritize the right use cases

• Confidence working with ambiguity and shaping structure where it does not yet exist

• A collaborative mindset and the ability to influence across technical and non-technical stakeholders

• International relocation and international remote working arrangements outside of the United States will not be considered

• Candidates must be currently authorized to work in the United States on a full-time basis

SALARY RANGE

The salary range for this position is:

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, educations, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. ​

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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 wellbeing, time off programs, wellbeing 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.

ELIGIBILITY

Applicants must meet a minimum 18-year age qualification.

EQUAL OPPORTUNITY EMPLOYER (EOE)​

General Mills is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, marital or familial status, status regarding public assistance, or membership or activity in a local human rights commission.

REASONABLE ACCOMODATION REQUEST

If you need to request an accommodation during the application or hiring process, please fill out our online accommodation request form by following this link: Accommodation Request.