KEYENCE
The Data Scientist at KEYENCE is responsible for analyzing ambiguous business problems and developing practical solutions, including analysis, automation, AI agents, and machine learning models. The role involves partnering with stakeholders to define problems, building and deploying end-to-end solutions, and ensuring their adoption and support. This position requires strong technical skills in Python, SQL, and AI/LLM development to create reliable data pipelines and internal tools.
Headquarters
Higashinakajima, Osaka, Japan
Company Size
10001+ employees
Founded
1974
KEYENCE is a global manufacturer of factory automation and inspection equipment, serving industries such as automotive, electronics, pharmaceuticals, and general manufacturing. Its product portfolio includes sensors, machine vision systems, measuring instruments, barcode readers, laser markers, and controllers, supported by application engineering and direct sales. The company operates in the industrial automation and manufacturing technology sector.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for KEYENCE.
23% above the average for this role