Solar Manufacturing Data Scientist: Forecasting & Optimization

Qcells USA Corp.; Cartersville (GA); On-site; USD 90,000 - 130,000; Full time

Job summary

Hanwha Q CELLS in the United States is seeking a Data Scientist to deliver data-driven solutions for solar product manufacturing. You will help reduce downtime, improve yield, and optimize processes to deliver higher-quality products to customers.

You will collaborate with cross-functional teams to define problems, build forecasting and health-prediction models, maintain fault-detection systems, and translate analytics into actionable improvements across the production line.

Qualifications

• Master's degree in a quantitative discipline 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

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

Skills

Python

SQL

Statistics

Machine Learning

Data Analysis

Communication

Education

Master's degree in quantitative field

Bachelor's degree with 5+ years experience

Tools

NumPy

SciPy

Scikit-learn

PyTorch

TensorFlow

Job description

Hanwha Q CELLS in the United States is seeking a Data Scientist to deliver data-driven solutions for solar product manufacturing. You will help reduce downtime, improve yield, and optimize processes to deliver higher-quality products to customers.

You will collaborate with cross-functional teams to define problems, build forecasting and health-prediction models, maintain fault-detection systems, and translate analytics into actionable improvements across the production line.