Job Description Summary

The Staff Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.

Job Description

Company Overview

GE Aerospace (NYSE: GE) is a global leader in aerospace propulsion, services, and integrated systems. Currently, it has approximately 44,000 in-service commercial aircraft engines worldwide. With a century-long history of innovation and profound industry expertise, GE Aerospace is committed to inventing the future of flight, lifting people up, and bringing them home safely.

Site Overview

For 45 years in China, GE Aerospace has committed to developing and investing in China’s aviation industry with reliable, efficient, sustainable, and outstanding products and services. GE Aerospace and its joint venture CFM have served more than 60 airline customers in the Greater China Region, with over 7700 engines in service and nearly 5000 engines on order. We are devoted to the market’s quality growth propelled by technological innovation and digitalization. Together with our partners, we are shaping a sustainable future of flight that helps the industry reach its carbon-neutral goal for the benefit of us all tomorrow.

Role Overview

The Staff Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.

The Ideal Candidate

As a Staff Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.

In this role, you will:

• Develop, verify and validate analytics to address customer needs and opportunities, communicate methods, findings and hypothesis with stakeholders.
• Use statistics, machine learning, deep learning and generative AI technologies to create customer value, execute on the same.
• Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
• Influence the decisions the leadership takes with relevant inputs and suggestions.
• Identifies IP Opportunities and Supports technical roadmap development within domain , site , Organization.
• Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
• Share and discuss findings with team members.

Required Qualifications

Master's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with minimum years of experience 4 years

Preferred Qualifications

• Proficient in data collection, cleaning, processing, and storage methods.
• Expertise in various machine learning algorithms and AI agency.
• Familiarity with deep learning frameworks like TensorFlow, Keras, and PyTorch, and the ability to design and train neural networks.
• Proficiency in programming languages such as Python, R, and SQL, with the ability to write efficient and maintainable code.
• Strong understanding of statistical principles and methods, and the ability to apply descriptive and predictive analytics to industrial datasets.
• 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
• Demonstrated skill at function in a team setting
• Demonstrated awareness of critical thinking and problem solving methods
• Demonstrated awareness of presentation and influencing skills
• Demonstrated awareness of how to succeed in ambiguous circumstances

At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.

Additional Information