[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All General Mills jobs](https://jobs.opennash.com/companies/general-mills/) · [Search jobs](/search/) General Mills · Minneapolis, MN # Sr. Data Scientist (Remote Eligible) Minneapolis, MN Remote Senior individual contributor $110,800 - $184,800 Data & Analytics Listed on General Mills’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there. [Apply on General Mills’s careers site →](https://genmills.wd1.myworkdayjobs.com/GMI_External_Careers/job/Minneapolis-MN/Sr-Data-Scientist--Remote-Eligible-_10129073) [OpenNash Jobs](https://jobs.opennash.com/) / [General Mills](https://jobs.opennash.com/companies/general-mills/) / Sr. Data Scientist (Remote Eligible) ## Job description 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.​ JOB 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 to define the technical problem statement and the hypothesis to test. In addition, you will develop efficient and accurate analytical models that mimic business decisions KEY RESPONSIBILITIES: Design & implementation of AI solutions for semi-structured data, covering problem framing, data curation, and evaluation across classification, entity extraction & summarization. Develop high‑quality Agentic AI and RAG workflows, optimizing ingestion, chunking, embeddings, and vector indexing with established frameworks and stores to maximize retrieval performance. Technically evaluate novel technology to help inform on the best effort/improvement tradeoffs. Quickly learn and iterate with novel technologies/procedures, particularly but not exclusively around generative AI. Responsible for monitoring and improvement of model performance metrics and recommendations with feedback incorporated from business partners. Implement appropriate generative AI techniques and technologies to solve business problems, including prompt and LLM fine-tuning, RAG, agentic workflows, and tool designs. Help business stakeholders translate their objectives into measurable outcomes. Apply critical thinking to frame business needs into statistical problems and develop solutions that balance technical completeness/complexity and timely value delivery. Be a storyteller to explain the ‘why and how’ of your recommendations to build trust in your solutions. Have passion to advocate and educate on the value and importance of data-driven decision-making and analytical methods. Identify and develop long-term data science processes, frameworks, tools, and standards. Be a part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists. ### MINIMUM QUALIFICATIONS Bachelor’s degree in data science, Computer Science, Engineering, Math, Statistics or other related fields 6+ years of relevant experience with at least 2 years of relevant experience in Data Science. Strong foundation of statistical reasoning and critical thinking, with a proven track record of effectively finding solutions to stakeholder problem statements. Experience with Python, including some exposure to package development and foundational programming principles. Some experience with generative AI concepts, including embeddings, LLMs, agents, and RAG. Experience writing complex SQL queries. Understanding data warehousing and complex databases Experience with machine learning and data visualization tools. Number sense, ability to identify questionable data, dig in and address it. Strong communication and collaboration skills to understand business needs, frame problems in familiar language (without compromising statistical fidelity), and present solutions that clearly translate to business value. ### PREFERRED QUALIFICATIONS Experience developing and deploying Python packages and managing large-scale projects Experience developing/deploying generative AI technology, including agents, RAG, or similar. Experience with Google Cloud Platform or similar technology. Applied experience in consumer goods/supply chain Master’s degree in data science, Computer Science, Engineering, Math, or Statistics preferred. ### ADDITIONAL CONSIDERATIONS Applicants for this position must be currently authorized to work in the United States on a full-time basis, and General Mills will not sponsor applicants for this position for work visas. SALARY RANGE The salary range for this position is: $110,800 - $184,800 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. ​ ​ 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 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. 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. ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Aug 20, 2026 - Last checked: Oct 18, 2026 - Listed for: 59 days - Location: Minneapolis, MN - Work arrangement: Remote - Pay: $110,800 - $184,800[Apply on General Mills’s careers site →](https://genmills.wd1.myworkdayjobs.com/GMI_External_Careers/job/Minneapolis-MN/Sr-Data-Scientist--Remote-Eligible-_10129073) ## More jobs at General Mills ### [Ecommerce & Retail Media Analytics Manager](https://jobs.opennash.com/companies/general-mills/jobs/2f6dc25aa01bc20b9cda/) Minneapolis, MN ### [Industrial R&D Statistics & Experimentation Manager](https://jobs.opennash.com/companies/general-mills/jobs/a3dd784d3c60bd88ce4b/) Minneapolis, MN ### [Sr Data Scientist (Operations Research)](https://jobs.opennash.com/companies/general-mills/jobs/1317063c986ecd4c56c4/) Minneapolis, MN ### [Sr Manager, Enterprise and Business Performance Analytics (CPG)](https://jobs.opennash.com/companies/general-mills/jobs/8e78afb808e33c4c4bda/) Minneapolis, MN ### [Sr. R&D Statistical Scientist (Statistician) - Golden Valley, MN](https://jobs.opennash.com/companies/general-mills/jobs/52d4ac887ec2d88ec404/) Minneapolis, MN ## Similar jobs at other companies ### [Senior AI/ML Applied Scientist - Remote](https://jobs.opennash.com/companies/unitedhealth-group/jobs/4b83a47c9f29b5679524/) UnitedHealth Group · Bellevue, Washington ### [Senior AI/ML Applied Scientist - Remote](https://jobs.opennash.com/companies/unitedhealth-group/jobs/6726d7a6cb4ef7c7ed17/) UnitedHealth Group · Eden Prairie, Minnesota ### [Director, Data Science - Consumer and Developer Experience (Remote-Eligible)](https://jobs.opennash.com/companies/capital-one-financial/jobs/aef3b72a8c4548bdb6e0/) Capital One Financial · McLean, VA +6 more ### [Solution Engineer, Staff (U.S. Remote work eligible)](https://jobs.opennash.com/companies/qualcomm/jobs/33f00f87a842cb02eb58/) Qualcomm · San Diego, California, United States of America, Massachusetts - Remote, North Carolina - Remote, Oregon - Remote, Texas - Remote, Washington - Remote, Remote ### [Manager, Data Scientist - Eso (Remote)](https://jobs.opennash.com/companies/quest-diagnostics/jobs/91e759c5d891428485d6/) Quest Diagnostics · Secaucus, NJ OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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