Sr. Data Scientist - Agentic AI (Minneapolis preferred, remote eligible)

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<p style="margin: 0px;"><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;"><strong>JOB OVERVIEW: </strong></span></p><p style="margin: 0px;"><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">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</span></p><p style="margin: 0px;"><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">efficient and accurate analytical models that mimic business decisions.</span></p><p style="margin: 0px;"> </p><p style="margin: 0px;"><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;"><strong>KEY RESPONSIBILITIES: </strong></span></p><ul><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Design & implementation of LLM-based agentic AI solutions for semi-structured data, covering problem framing, data curation, and evaluation across classification, entity extraction & summarization.</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Develop high‑quality Agentic AI and RAG workflows, optimizing ingestion, chunking, embeddings, and vector indexing with established frameworks and stores to maximize retrieval performance.</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Technically evaluate novel technology to help inform on the best effort/improvement tradeoffs.</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Quickly learn and iterate with novel technologies/procedures, particularly but not exclusively around generative AI.</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Implement appropriate generative AI techniques and technologies to solve business problems, including prompt and LLM fine-tuning, RAG, agentic workflows, and tool designs.</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Help business stakeholders translate their objectives into measurable outcomes.</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Apply critical thinking to frame business needs into statistical problems and develop solutions that balance technical completeness/complexity and timely value delivery.</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Be a storyteller to explain the ‘why and how’ of your recommendations to build trust in your solutions.</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Have passion to advocate and educate on the value and importance of data-driven decision-making and analytical methods.</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Identify and develop long-term data science processes, frameworks, tools, and standards.</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Be a part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists.</span></li></ul><p style="margin: 0px;"><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;"><strong>MINIMUM QUALIFICATIONS:</strong> </span></p><ul><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Bachelor’s degree in data science, Computer Science, Engineering, Math, Statistics or other related fields</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">6+ years of relevant experience with at least 2 years of relevant experience in Data Science.</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Strong foundation of statistical reasoning and critical thinking, with a proven track record of effectively finding solutions to stakeholder problem statements.</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Experience with Python, including some exposure to package development and foundational programming principles.</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Some experience with generative AI concepts, including embeddings, LLMs, agents, and RAG.</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Experience writing complex SQL queries.</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Understanding data warehousing and complex databases</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Experience with machine learning and data visualization tools.</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Number sense, ability to identify questionable data, dig in and address it.</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">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.</span></li></ul><p style="margin: 0px;"><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;"><strong>PREFERRED QUALIFICATIONS: </strong></span></p><ul><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Experience developing and deploying Python packages and managing large-scale projects</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Experience developing/deploying generative AI technology, including agents, RAG, or similar.</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Experience with Google Cloud Platform or similar technology.</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Applied experience in consumer goods/supply chain</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Master’s degree in data science, Computer Science, Engineering, Math, or Statistics preferred.</span></li></ul><p style="margin: 0px;"><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;"><strong><span style="color: black;">ADDITIONAL CONSIDERATIONS: </span></strong></span></p><ul><li><span style="font-size: 10pt; font-family: arial, helvetica, sans-serif;">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.</span></li></ul> <br><strong></strong><p><strong> Salary Range </strong><br><br>The salary range for this position is $108900.00 - $181700.00 / 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, 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. <br><strong></strong></p><p><strong>Reasonable Accommodation Request</strong><br><br>If you need to request an accommodation during the application or hiring process, please fill out our online accommodations request form by following this link: <b><a href="">Accommodations Request. </a></b></p>

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