Data Scientist – Manufacturing Yield & Capital Planning

Title: Data Scientist – Manufacturing Yield & Capital Planning Employment Type: Full-Time Location: Plano, TX – Onsite Job Summary This role focuses on automating manual manufacturing processes using Python, building interactive visualization applications with Streamlit, and developing data-driven solutions using Databricks. The candidate will collaborate closely with manufacturing and supply chain teams to develop proof of concepts (PoCs), validate business hypotheses, and implement automated analytical workflows. Manufacturing domain experience is mandatory. Candidates with experience in manufacturing yield, capital management, waste analysis, equipment performance, or production operations are strongly preferred.

1. Manufacturing Precision Yield Optimization • Automate the allocation and analysis of waste generated across different phases of the manufacturing production process. • Develop Python-based solutions to replace existing manual processes. • Build interactive Streamlit dashboards and user interfaces for data visualization and analytical insights. • Analyze manufacturing data to identify patterns, inefficiencies, and opportunities for yield improvement. • Develop and validate analytical hypotheses to support manufacturing decision-making. • Automate workflows to execute whenever the underlying manufacturing data is refreshed. 2. Strategic Capital Planning • Automate manual strategic capital planning processes for manufacturing operations. • Develop Python-based analytical models and workflows to support capital planning and resource allocation. • Build Streamlit interfaces to visualize planning outputs, insights, and key performance indicators. • Integrate relevant manufacturing datasets to improve planning accuracy and operational efficiency. • Implement automated data processing and reporting workflows triggered by data refreshes. Technical