Solar Manufacturing Data Scientist: Predictive Analytics

Qcells North America; Cartersville (GA); On-site; USD 110,000 - 140,000; Full time

Job summary

Qcells North America is seeking a Data Scientist to deliver data-driven solutions for solar product manufacturing. You will help reduce downtime, improve yield, and optimize processes by building forecasting models and monitoring systems across cross-functional teams.

The role requires a Master’s in a quantitative field or a Bachelor’s with extensive experience, with strong Python/SQL skills and knowledge of ML libraries. Collaboration with engineers and technicians is essential to success.

Qualifications

• Master’s degree in a quantitative field with 2+ years of relevant experience, or a Bachelor’s with 5+ years of relevant experience.
• Programming and data analysis 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

• Define engineering problems in the solar PV manufacturing process and contribute to analytical solution development with cross-functional teams
• Interface with engineers and technicians to translate requirements into actionable analytical support for process operations
• Investigate root causes of process or equipment failures, and declines in yield, productivity, or efficiency
• Develop data-driven models to forecast outcomes, predict equipment health, and simulate operating conditions
• Operate, monitor, and maintain data-driven models, fault detection systems, and process control systems

Skills

Data analysis

Statistics

Machine learning

Cross-functional collaboration

Communication

Forecasting

Process simulation

Education

Master’s degree in a quantitative field

Bachelor’s degree + 5+ years experience

Tools

Python

SQL

Oracle MSSQL

NumPy

SciPy

Scikit-learn

PyTorch

TensorFlow

Keras

Deep Learning

Job description

Qcells North America is seeking a Data Scientist to deliver data-driven solutions for solar product manufacturing. You will help reduce downtime, improve yield, and optimize processes by building forecasting models and monitoring systems across cross-functional teams.

The role requires a Master’s in a quantitative field or a Bachelor’s with extensive experience, with strong Python/SQL skills and knowledge of ML libraries. Collaboration with engineers and technicians is essential to success.