Principal Engineer – Data Science
Switzerland Global Enterprise
Principal Engineer – Data Science
GE Vernova
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇮🇳 India
Visit company websiteJob Level
Lead
About the role
- 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.
- Identify, develop, evaluate, and introduce engineering solutions to create market winning proposals in anticipation of business product needs.
- Provide key technical direction to large projects during contract execution phase.
- Provide technical consultation on product problems throughout the business including supplier and field support and perform technical rescues when needed.
- Participate 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 relationship with relevant academic institutions to promote research projects and other academic cooperations.
- 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.
- Organize lessons-learnt in one’s own domain and make sure they are well documented and communicated throughout the organization to prevent repeated mistakes.
- Maintain an active role in product introduction, cost improvements, schedule adherence and problem resolution to meet business needs.
- Develop technical competencies by establishing and delivering structured technical training schemes within one’s own business lines.
- Actively support Consulting Engineers with staff development & succession planning.
- Participate interviews for promotions or hirings within Engineering/Technology up to the level of Senior Engineer.
- Actively mentor and coach identified high potential Engineering talents within one’s business lines.
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 those domains: Natural Language Processing, Time Series, Computer Vision
- Ability to work across organizations in a matrix environment
- Preferably having taken a Senior Engineer or Senior Researcher role
- Strong oral and written communication skills
- Strong interpersonal and leadership skills
- Problem analysis and resolution skills
- Able to pursue Engineering integrity in adverse conditions
- Able to interface effectively with most levels of the organization
- Lean experience preferred
Benefits
- Relocation Assistance Provided: No
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Machine LearningNatural Language ProcessingTime SeriesComputer VisionEngineeringData ScienceTechnical TrainingTechnical ConsultationProblem AnalysisTechnical Direction
Soft skills
LeadershipInterpersonal SkillsCommunication SkillsProblem ResolutionMentoringCoachingOrganizational SkillsCollaborationAdaptabilitySuccession Planning
Certifications
Master of Science in Computer ScienceMaster of Science in Machine LearningMaster of Science in EngineeringMaster of Science in Mathematics
