Lead Data Scientist – Manufacturing & Automation

First Solar, Inc.; Perrysburg (OH); On-site; USD 112,000 - 160,000; Full time

Job summary

First Solar, Inc. in Perrysburg, OH is seeking a senior data scientist to lead cross-site analytics projects and integrate MES data with IT/OT systems.

You will guide machine learning deployments, develop automation capabilities, and mentor engineering teams to enhance manufacturing performance. Required are at least a technical degree with several years in data science or engineering, strong Python and ML framework experience, and the ability to communicate technical solutions effectively to

Qualifications

• Bachelors with 2 years as Data Scientist III, or 9 years engineering experience in a technical setting.
• MS with 2 years as Data Scientist III or 7 years engineering experience in a technical setting.
• PhD with 2 years as Data Scientist III or 5 years of experience in a technical setting.

Responsibilities

• Lead cross-functional and cross-site projects with technical analytics leadership.
• Develop and document improvements to manufacturing automation systems.
• Evaluate, install and qualify new automation systems.
• Define qualification plans and lead CMS projects for new automation processes.
• Mentor junior engineers and provide training to others.

Skills

Project management

Data ecosystems

Analytics software

IT/OT integration

Technical leadership

Python

Machine learning

Image classification

Statistics & data manipulation

APIs

Git & CI/CD

CMS processes

Technical presentation

Education

Bachelor's degree in technical discipline

MS Degree in technical discipline

PhD Degree in technical discipline

Tools

Python

TensorFlow

PyTorch

JMP

SAS

R

Git

CI/CD

Docker

Kubernetes

Job description

First Solar, Inc. in Perrysburg, OH is seeking a senior data scientist to lead cross-site analytics projects and integrate MES data with IT/OT systems.

You will guide machine learning deployments, develop automation capabilities, and mentor engineering teams to enhance manufacturing performance. Required are at least a technical degree with several years in data science or engineering, strong Python and ML framework experience, and the ability to communicate technical solutions effectively to