Supply Chain Analytics Engineer

Redwood Materials was founded in 2017 to create a circular supply chain for electric vehicles and clean energy products, making them more sustainable and driving down the cost for batteries. We’re doing this by developing and deploying new technologies to increase the scope and scale of recycled and sustainable materials in the global battery supply chain. 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 The position is full-time. Compensation will be commensurate with experience.

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