Mosaic Company is seeking to optimize its supply chain through AI, machine learning, and analytics-driven solutions to drive cost savings, productivity gains, and cycle-time reductions.
Requirements
- Advanced proficiency in Python including pandas, scikit-learn, PuLP, Pyomo and SQL, with ability to translate models into actionable insights
- Experience with AzureML and Azure DevOps
- Skilled in data visualization and reporting tools such as Power BI and Excel Solver with ability to communicate insights effectively to technical and non-technical audiences
- Proven experience leading Lean Six Sigma or continuous improvement projects
- Experience with AzureML and Azure DevOps
- Familiarity with Copilot Studio and Generative AI applications in process optimization
- Exposure to ERP systems such as SAP or Oracle
Responsibilities
- Lead hands-on modeling and optimization initiatives using Python, SQL, and visualization tools to deliver predictive and prescriptive solutions for supply chain planning and network optimization.
- Develop and execute AI/ML and data science strategy aligned with Mosaic’s business vision and digital roadmap.
- Apply emerging technologies (e.g., Generative AI, Copilot Studio) and best practices in MLOps to accelerate modeling, improve decision-making, and enhance operational visibility.
- Drive continuous improvement through Lean Six Sigma projects, Kaizen events, and root cause analysis, achieving measurable cost reduction and process standardization.
- Coach and develop internal teams on analytics and process improvement methodologies to build sustainable capability and foster a data-driven culture.
- Partner with supply chain owners to translate business needs into technical requirements and deliver enhancements within supply chain planning platforms.
- Lead change management and process governance efforts to ensure adoption of digital solutions, KPI tracking, and alignment of technology, people, and processes for maximum business impact.
Other
- Bachelor’s degree in statistics, data science, computer science, engineering or a related field
- 7+ years of experience in supply chain optimization, data science, or process improvement with demonstrated success in digital transformation initiatives
- Demonstrated ability to lead through influence, collaborate across global teams, and work effectively in Agile and SCRUM environments
- Master’s degree in a related field
- Green Belt or Black Belt certification
