LayerZero Power Systems

Data Scientist

• Develop and maintain analytical models that support demand forecasting, capacity planning, and inventory optimization.
• Analyze sales, production, and supply chain data to identify trends, risks, and opportunities.
• Partner with functional leaders to improve forecast accuracy, service levels, and operational efficiency.
• Build predictive and prescriptive models using advanced statistical, machine learning, or optimization techniques to support SIOP decision-making.
• Perform sensitivity analyses and scenario modeling to support long-term capacity and investment planning.
• Develop algorithms and models that provide forward-looking insight into supply-demand balance, lead times, and production throughput.
• Serve as a key analytics lead in the ERP/MRP system deployment and post-implementation phases.
• Ensure data accuracy, integrity, and consistency across systems through close collaboration with IT, Operations, and Supply Chain teams.
• Support design and validation of ERP data structures (e.g., BOMs, routings, inventory hierarchies) for effective reporting and planning.
• Develop reporting frameworks and KPIs to leverage ERP data for real-time operational insights.
• Drive user adoption by helping build intuitive dashboards and analytical tools that connect business needs with ERP capabilities.
• Design and maintain interactive dashboards and reports (Power BI, Tableau, or equivalent) to track KPIs such as forecast accuracy, lead times, inventory turns, and customer fill rates.
• Translate complex data into clear insights for executive leadership and cross-functional teams.
• Automate recurring data reports and develop robust data pipelines for real-time visibility.
• Partner with IT and Operations to ensure data quality, consistency, and standardization across all systems.
• Contribute to the development of a best-in-class analytics infrastructure to support the company’s growth and digital transformation.
• Identify and drive process improvement opportunities within SIOP and related business processes.
• Support strategic initiatives in production planning, material control, and procurement through analytical insights.
• Partner with Finance and Operations to model performance scenarios and improve alignment between demand and supply.
• Communicate findings effectively to both technical and non-technical audiences.