Supply Chain Analytics Engineer

We are seeking a candidate to join our Supply Chain Analytics team. In this role, you will develop data-driven solutions to optimize material flows, forecast demand and inventory, and enhance supply chain efficiency using predictive modeling and machine learning.

Responsibilities Will Include:

• Develop predictive models and heuristics for production planning, inventory optimization, and logistics planning
• Build data pipelines and dashboards to track key supply chain KPIs
• Apply machine learning and statistical methods to identify inefficiencies and optimize costs
• Work with cross-functional teams to improve production planning and scheduling. Build an understanding of end-to-end supply chain processes.
• Take ownership of all aspects including communication, strategy, development and implementation.
• Partner with engineers and ERP developers to integrate analytics into business systems
• Analyze supplier, transportation, and process data to drive insights for better decision-making

Desired Qualifications:

• 3+ years of experience in data science, analytics, or supply chain optimization
• Strong programming skills in Python and SQL
• Experience with forecasting, optimization, and machine learning techniques
• Experience with linear programming and integer programming
• Familiarity with Tableau, Power BI, or other visualization tools
• Knowledge of ERP systems and supply chain processes
• Ability to communicate insights effectively to technical and non-technical stakeholders