<div><div><div><div><div>About Redwood Materials<div>Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling — keeping critical minerals in circulation and driving the energy transition. Founded in 2019, we’re delivering low-cost and large-scale energy storage and producing battery materials in the U.S. for the first time, all from batteries we already have.</div></div></div></div></div></div>Supply Chain Analytics EngineerWe 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:<ul><li style="font-size:12pt;">Develop predictive models and heuristics for production planning, inventory optimization, and logistics planning</li><li style="font-size:12pt;">Build data pipelines and dashboards to track key supply chain KPIs</li><li style="font-size:12pt;">Apply machine learning and statistical methods to identify inefficiencies and optimize costs</li><li style="font-size:12pt;">Work with cross-functional teams to improve production planning and scheduling. Build an understanding of end-to-end supply chain processes.</li><li style="font-size:12pt;">Take ownership of all aspects including communication, strategy, development and implementation.</li><li style="font-size:12pt;">Partner with engineers and ERP developers to integrate analytics into business systems</li><li style="font-size:12pt;">Analyze supplier, transportation, and process data to drive insights for better decision-making</li></ul>Desired Qualifications:<ul><li style="font-size:12pt;">3+ years of experience in data science, analytics, or supply chain optimization</li><li style="font-size:12pt;">Strong programming skills in Python and SQL</li><li style="font-size:12pt;">Experience with forecasting, optimization, and machine learning techniques</li><li style="font-size:12pt;">Experience with linear programming and integer programming</li><li style="font-size:12pt;">Familiarity with Tableau, Power BI, or other visualization tools</li><li style="font-size:12pt;">Knowledge of ERP systems and supply chain processes</li><li style="font-size:12pt;">Ability to communicate insights effectively to technical and non-technical stakeholders</li></ul> <div>The position is full-time. Compensation will be commensurate with experience. We collect personal information (PI) from you in connection with your application for employment with Redwood Materials, including the following categories of PI: identifiers, personal records, professional or employment information, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment. If you have additional privacy-related questions, please contact us at privacy@redwoodmaterials.com.</div>

Redwood is developing a fully closed-loop, domestic supply chain for lithium-ion batteries. Our team manufactures critical battery components using as many recycled batteries as possible &mdash; localizing a 50,000-mile global supply battery chain on a single site.

Supply Chain Analytics Engineer

<div><div><div><div><div>About Redwood Materials<div>Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling&nbsp;—&nbsp;keeping critical minerals in circulation and driving the&nbsp;energy transition. Founded in 2019,&nbsp;we’re delivering low-cost and large-scale energy storage and producing battery materials in the U.S. for the first time, all from batteries we already have.</div></div></div></div></div></div>Supply Chain Analytics EngineerWe 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:<ul><li>Develop predictive models and heuristics for production planning, inventory optimization, and logistics planning</li><li>Build data pipelines and dashboards to track key supply chain KPIs</li><li>Apply machine learning and statistical methods to identify inefficiencies and optimize costs</li><li>Work with cross-functional teams to improve production planning and scheduling. Build an understanding of end-to-end supply chain processes.</li><li>Take ownership of all aspects including communication, strategy, development and implementation.</li><li>Partner with engineers and ERP developers to integrate analytics into business systems</li><li>Analyze supplier, transportation, and process data to drive insights for better decision-making</li></ul>Desired Qualifications:<ul><li>3+ years of experience in data science, analytics, or supply chain optimization</li><li>Strong programming skills in Python and SQL</li><li>Experience with forecasting, optimization, and machine learning techniques</li><li>Experience with linear programming and integer programming</li><li>Familiarity with Tableau, Power BI, or other visualization tools</li><li>Knowledge of ERP systems and supply chain processes</li><li>Ability to communicate insights effectively to technical and non-technical stakeholders</li></ul>&nbsp;<div>The position is full-time. Compensation will be commensurate with experience.&nbsp;We collect personal information (PI) from you in connection with your application for employment with Redwood Materials, including the following categories of PI: identifiers, personal records, professional or employment information, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment. If you have additional privacy-related questions, please contact us at privacy@redwoodmaterials.com.</div>

Supply Chain Analytics Engineer

About the Job

About the Company

Redwood Materials

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