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About the Role
The Principal Data Scientist is a senior technical leader responsible for strategizing and implementing enterprise-grade AI solutions, including agentic AI, NLP, optimization, and machine learning, to drive value in Supply Chain and related areas. This role involves partnering with business leaders to translate requirements into analytical problems and production-grade decisioning systems, while shaping and governing AI architecture and roadmaps. The position also focuses on mentoring the Data Science community and promoting AI/ML best practices for responsible AI adoption.
Responsibilities
- Lead, design, and execute novel, end-to-end AI solutions and systems focused on complex Supply Chain decisioning.
- Partner with data science leadership, engineering, AI platform teams, and business stakeholders to deliver production-grade AI/ML products and services on GCP.
- Provide technical leadership by challenging assumptions, offering architectural patterns, and making informed trade-offs.
- Lead the reference architecture, design, and implementation of LLMs, NLP, and computer vision-driven solutions.
- Provide technical oversight across core data science methodologies, ensuring rigor and consistency.
- Partner with AI Leadership, ML Engineering, and business stakeholders to define and evolve the architecture for agentic AI and retrieval-augmented systems.
- Own the creation and operationalization of production-ready, scalable AI platforms, services, and models.
- Provide technical leadership for analytical solution design and experimentation through hypothesis-driven approaches.
- Serve as a key member of the Data Science leadership team, shaping technical strategy, roadmaps, and standards.
- Coach and develop data scientists and adjacent talent through technical reviews and mentoring.
- Champion Responsible AI by ensuring privacy, security, and governance compliance.
- Act as an internal and external thought leader on AI strategy, architecture, and data science.
Requirements
- 10+ years of experience in data science / applied analytics, with ownership of end-to-end solutions from problem framing through production and measurable business impact.
- At least 3 years in a Principal, Lead, or equivalent senior technical level.
- Advanced degree in a quantitative field (Data Science, Computer Science, Engineering, Statistics, Math, Operations Research, or related).
- Strong expertise in core data science methodologies (statistical modeling, machine learning, optimization) and their practical application.
- Hands-on experience architecting and deploying scalable AI/ML solutions on a major cloud platform (preferably GCP).
- Proven track record of building and operating production-grade models and decisioning systems at scale.
- Demonstrated technical leadership setting technical direction, establishing standards, and influencing architecture and platform decisions.
- Experience leading complex AI/ML programs across multiple teams.
- Experience with unstructured data and advanced AI (e.g., LLMs, NLP, computer vision) integrated into business workflows and applications.
- Strong communication skills, with the ability to clearly explain analytical concepts, results, and trade-offs to both technical and non-technical stakeholders.
- Proficiency with modern data science engineering practices: version control, code review, testing, CI/CD for models, and agile delivery.
- Demonstrated ability to mentor and develop other data scientists.
- Proven ability to stay current on evolving AI/ML technologies and to anticipate, evaluate, and advocate for appropriate adoption within the enterprise.
- Applicants must be currently authorized to work in the United States on a full-time basis.
- Applicants must meet a minimum 18-year age qualification.
Skills
- Agentic AI
- NLP
- Optimization
- Machine Learning
- Statistical modeling
- LLMs
- Computer vision
- Retrieval-augmented systems
- Version control
- Code review
- Testing
- CI/CD for models
- Agile delivery
Location
- United States
Work Type
- Full-time
Experience Level
- Principal
- Lead
- Senior technical level
Education Level
- Advanced degree in a quantitative field (Data Science, Computer Science, Engineering, Statistics, Math, Operations Research, or related)
Salary/Compensations
- $149,500 - $249,300
Benefits
- Competitive Total Rewards package focusing on overall well-being
- Health benefits
- Retirement and financial wellbeing programs
- Time off programs
- Wellbeing support and perks
- Annual incentive program
About the Company
- We exist to make food the world loves.
- 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.
- Becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.
Equal Opportunity
- 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.