
10,000+ employees
Founded 1928
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
General Mills is a leading global food company that has been dedicated to making food for over 150 years. They create a wide array of beloved products, ranging from cereals and snacks to meals that bring joy to families around the world. Driven by a commitment to sustainability and community impact, General Mills focuses on responsible sourcing and healthful food offerings, ensuring that they uphold high standards in food safety and ethics.
🕒 August 5
❄️ Minnesota – Remote
💵 $110.8k - $184.8k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
👻 Ghost score 32%
Where this job comes from
Posted on General Mills's careers page, not through a job board
First seen by Remote Rocketship August 5

10,000+ employees
Founded 1928
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
General Mills is a leading global food company that has been dedicated to making food for over 150 years. They create a wide array of beloved products, ranging from cereals and snacks to meals that bring joy to families around the world. Driven by a commitment to sustainability and community impact, General Mills focuses on responsible sourcing and healthful food offerings, ensuring that they uphold high standards in food safety and ethics.
• Design and implement AI solutions for semi-structured data, including problem framing, data curation, and evaluation across classification, entity extraction, and summarization • Develop high-quality Agentic AI and RAG workflows, optimizing ingestion, chunking, embeddings, and vector indexing • Technically evaluate novel technologies and inform effort/improvement tradeoffs • Learn and iterate with novel technologies and procedures, particularly generative AI • Monitor and improve model performance metrics and recommendations, incorporating business partner feedback • Implement generative AI techniques and technologies, including prompt and LLM fine-tuning, RAG, agentic workflows, and tool designs • Translate business stakeholder objectives into measurable outcomes • Frame business needs into statistical problems and develop solutions balancing technical complexity with timely value delivery • Explain the rationale and methodology behind recommendations to build trust • Advocate for and educate stakeholders on data-driven decision-making and analytical methods • Identify and develop long-term data science processes, frameworks, tools, and standards • Collaborate with product owners, business partners, and other Data Scientists
• Bachelor’s degree in data science, Computer Science, Engineering, Math, Statistics or another related field • 6+ years of relevant experience, including at least 2 years of relevant experience in Data Science • Strong foundation in statistical reasoning and critical thinking • Proven track record of solving stakeholder problem statements • Experience with Python, including exposure to package development and foundational programming principles • Experience with generative AI concepts, including embeddings, LLMs, agents, and RAG • Experience writing complex SQL queries • Understanding of data warehousing and complex databases • Experience with machine learning and data visualization tools • Ability to identify questionable data and address it • Strong communication and collaboration skills • Applicants must be currently authorized to work in the United States on a full-time basis • General Mills will not sponsor applicants for work visas • Minimum age of 18 • Preferred: experience developing and deploying Python packages and managing large-scale projects • Preferred: experience developing/deploying generative AI technology, including agents, RAG, or similar • Preferred: experience with Google Cloud Platform or similar technology • Preferred: applied experience in consumer goods/supply chain • Preferred: Master’s degree in data science, Computer Science, Engineering, Math, or Statistics
• Health benefits • Retirement and financial wellbeing benefits • Time off programs • Wellbeing support • Perks • Potential eligibility for an annual incentive program
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