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Job description
Description SUMMARY
The Data Scientist will deliver data-driven solutions to address challenges in solar product manufacturing. By leveraging analytics, you will help reduce downtime, increase yield and productivity, identify and resolve potential issues proactively, and support the optimization of manufacturing processes to enable the delivery of higher-quality products to customers.
Responsibilities
Help define engineering problems in the solar PV manufacturing process and contribute to analytical solution development in collaboration with cross-functional teams
Interface with engineers and technicians to gather and translate requirements into actionable analytical support for process operations
Support investigations into the root causes of process or equipment failures, unexpected shutdowns, and declines in yield, productivity, or efficiency
Develop data-driven models using historical data to forecast outcomes, predict equipment health, and simulate operating conditions
Operate, monitor, and maintain existing data-driven models, fault detection systems, and process control systems
Required Qualifications
Master’s degree in a quantitative discipline (e.g., Computer Science, Statistics, Industrial Engineering, Electrical Engineering, Chemical Engineering) with 2+ years of relevant experience (or a Bachelor’s degree with 5+ years of relevant experience)
Programming and data analysis skills using Python and SQL, with experience in relational databases (e.g., Oracle, MSSQL) and querying complex datasets
Working knowledge of statistics and machine learning algorithms
Experience using statistical and machine learning libraries (e.g., NumPy, SciPy, Scikit-learn); exposure to deep learning frameworks (e.g., PyTorch, TensorFlow, Keras) is a plus
Ability to develop and maintain data-driven models for forecasting, equipment health prediction, and process simulation
Strong analytical thinking and communication skills, with the ability to collaborate effectively across cross-functional teams
Preferred Qualifications
Experience in a data-focused role within the solar PV, display device, or semiconductor manufacturing industry
Experience with Fault Detection and Classification (FDC) and Advanced Process Control (APC) systems in a manufacturing environment
Familiarity with cloud platforms (AWS, Azure, or GCP) for data pipelines, storage, or model deployment
Exposure to retrieval-augmented generation (RAG) or LLM-based applications for industrial data and knowledge management
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Worksite address
cartersville, GA, 30120, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.