Principal Engineer – Data Science

GE Vernova
Stafford
4 months ago
Applications closed

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Principal Engineer – Data Science

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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.


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