Job Description SummaryThe Sr Data Scientist will be at the forefront of developing and implementing advanced image processing and computer vision algorithms to solve challenging problems in aerospace applications. In this role you will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. You will contribute to the development and deployment of modern machine learning and deep learning models.Job Description
Essential Responsibilities
- Design, develop, and implement computer vision algorithms and systems for image analysis, object detection, tracking, classification and Segmentation.
- Collaborate with cross-functional teams to integrate computer vision technologies into aerospace applications, ensuring the highest levels of safety and quality.
- Conduct research on the latest computer vision techniques and methodologies to enhance image analytics capabilities.
- Develop analytics to address customer needs and opportunities
- Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
- Ensure the delivery of high-quality solutions by adhering to coding standards and best practices.
- Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
- Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
- Share and discuss findings with team members.
Qualifications/Requirements
- Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with advanced experience.
Desired Characteristics
- Strong programming skills in Python, C++, or other relevant languages.
- Experience with computer vision libraries and frameworks such as OpenCV, TensorFlow, or PyTorch.
- Experience with real-time computer vision systems.
- Familiarity with machine learning and deep learning concepts and their application in computer vision.
- Demonstrated skill at data visualization and storytelling for an audience of stakeholders
- Humble: respectful, receptive, agile, eager to learn
- Transparent: shares critical information, speaks with candor, contributes constructively
- Focused: quick learner, strategically prioritizes work, committed
- Leadership ability: strong communicator, decision-maker, collaborative
- Problem solver: analytical-minded, challenges existing processes, critical thinker
Technical Expertise:
- Demonstrated awareness of data management methods
- Demonstrated awareness of real time analytics development and deployment
Domain Knowledge:
- •Demonstrated awareness of industry and technology trends in one or more sectors where GE operates
- Demonstrated awareness of customer and stakeholder management and business metrics
Leadership:
- Demonstrated skill at function in a team setting
- Demonstrated awareness of critical thinking and problem solving methods
- Demonstrated awareness of presentation and influencing skills
Personal Attributes:
- Demonstrated awareness of how to succeed in ambiguous circumstances
About us:
GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
*Disclosure of your Gender or Sexual orientation is completely Voluntary and not mandatory.
www.ge.com
Additional Information
Relocation Assistance Provided: No
Top Skills
What We Do
A new era is here, and we want you to be a part of it. We will now be sharing our content on our respective GE Aerospace and GE Vernova pages. Be sure to follow each to keep up with the future of aviation and energy.
