Principal Engineer – Data Science

GE Vernova

Overview

The Principal Engineer – Data Science combines a high level of technical expertise with sound business acumen and a strong understanding of engineering processes. Principal Engineers are part of a formal career path for technical personnel who want to continue to develop and grow their technical competencies while having increasing impact on the business.

Responsibilities

• Lead technical direction for large projects during contract execution phase.
• Support Consulting Engineers in business line technology strategy definition and Multi-Generational Product Plan (MGPP).
• Chair design reviews for individual components, sub-assemblies and key engineering deliverables at tendering and contract execution stages.
• Provide key technical consultation on product problems throughout the business, including supplier and field support and perform technical rescues when needed.
• Participate in Patent Evaluation Board (PEB) to protect technology that gives the business a competitive advantage.
• Represent the business externally at conferences or in professional working bodies (IEC, CIGRE etc) and maintain active relationships with relevant academic institutions.
• Lead early research and proof-of-concepts for promising technology applications.
• Provide ad-hoc technical guidance to the Engineering/Technology leadership team as required, e.g., joining customer negotiations or supplier audits.
• Develop technical competencies by establishing and delivering structured technical training schemes within one’s own business lines.
• Mentor and coach identified high potential Engineering talents within one’s business lines.

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 & techniques in at least one of the following domains: Natural Language Processing, Time Series, Computer Vision.
• Strong oral and written communication skills.
• Strong interpersonal and leadership skills.
• Problem analysis and resolution skills.
• Ability to work across organizations in a matrix environment.
• Preferably having taken a Senior Engineer or Senior Researcher role.
• Able to interface effectively with most levels of the organization.
• Able to pursue Engineering integrity in adverse conditions.
• Lean experience preferred.

Additional Information

Relocation Assistance Provided: No.

This is a remote position.