About Redwood Materials
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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Top Skills
What We Do
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 — localizing a 50,000-mile global supply battery chain on a single site.
