General Mills is seeking to leverage advanced analytics engines and services to empower decision-makers with real-time insights, drive strategic business outcomes, and stay ahead in a competitive landscape.
Requirements
- Proficiency in statistical analysis, machine learning, clustering, and data mining techniques
- Strong programming skills in Python and experience working with large, dynamic DataFrames
- Expertise in SQL for complex data querying and manipulation
- Understanding of data warehousing, databases, and data architecture
- Experience with machine learning and data visualization tools
- Ability to identify questionable data and address data quality issues
- Experience with machine learning frameworks and tools
Responsibilities
- Lead the design, development, and implementation of innovative analytical models to support business objectives
- Collaborate with data science leadership, engineering teams, and business stakeholders to develop robust machine learning models using state-of-the-art tools and frameworks
- Lead the development of Large Language Models (LLMs), Natural Language Processing (NLP), and computer vision solutions for unstructured text and image data, including problem framing, data curation, fine-tuning, and evaluation
- Partner with AI leadership and ML engineering teams to architect high-quality Agentic AI and Retrieval-Augmented Generation (RAG) workflows, optimizing data ingestion, chunking, embeddings, and vector indexing
- Create scalable, production-ready models that deliver real-time insights aligned with company standards
- Define evaluation strategies, error taxonomies, and human-in-the-loop review processes to ensure transparency and model accuracy
- Contribute to the overall data science strategy, best practices, and team development initiatives
Other
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
- 6+ years of experience in Data Science, with at least 1 year focused on agentic AI experiences
- Excellent organizational skills with meticulous attention to detail and accuracy
- Strong communication and collaboration skills to effectively partner with cross-functional teams
- Willingness to work independently on complex problems and adapt to changing priorities
