Job Overview

Principal Engineer – Data Science at GE Vernova combines high technical expertise with strong business acumen and deep engineering process knowledge. This role is part of a formal career path for technical personnel who want to develop and grow their technical competencies while having increasingly more impact on the business.

Main Responsibilities

• Lead or support large projects and initiatives with broad scope and high business impact.
• Provide technical direction during contract execution and safeguard design quality.
• Consult on product problems, supplier and field support, and perform technical rescues.
• Represent the business at conferences, professional bodies, and academic institutions.
• Lead early research and proof‑of‑concepts for promising technology applications.
• Develop and deliver structured technical training and competency schemes.
• Support staff development, succession planning, and high potential talent coaching.
• Participate in Patent Evaluation Board and protect technology IP.

Qualifications & Requirements

• Master of Science in Computer Science, Machine Learning, Engineering, or Mathematics.
• At least 10 years of experience in an engineering or data science capacity.
• Experience with state‑of‑the‑art machine learning technologies in one of these domains: Natural Language Processing, Time Series, Computer Vision.
• Strong oral and written communication, interpersonal and leadership skills.
• Problem analysis and resolution skills; ability to pursue engineering integrity in adverse conditions.
• Preferably having taken a Senior Engineer or Senior Researcher role.
• Able to interface effectively with most levels of the organization.
• Lean experience preferred.

Additional Information

Relocation Assistance Provided: No

Remote position.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology