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General Electric Staff Data Scientist in Waukesha, Wisconsin

Job Description Summary

The Staff Data Scientist will work in teams addressing statistical, machine learning and data understanding problems for CT imaging datasets that are specific to Gemstone spectral imaging. In this role, you will contribute to the development and deployment of modern machine learning techniques to develop products and applications that maximize the impact of Gemstone spectral imaging data to clinical outcomes.

GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

Job Description

Roles and Responsibilities

As a Staff Data Scientist, you will be responsible to develop end to end Deep Learning -based solution feasibility for one or more specific CT Imaging applications that leverage gemstone spectral imaging datasets.

In this role, you will:

  • Work with customers to capture data and analytics requirements

  • Develop, verify, and validate analytics to address customer needs and opportunities.

  • Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.

  • Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.

  • Perform exploratory and targeted data analyses using descriptive statistics and other methods.

  • Work with data engineers on data quality assessment, data cleansing and data analytics

  • Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.

  • Communicate methods, findings, and hypotheses with stakeholders.

  • Understand Deep Learning techniques and approaches in computer vision (CNNs, image classification, segmentation, detection).

  • Apply Deep Learning SDKs and scripting w/ GPU for AI model training/inference (TensorFlow, PyTorch).

  • Data collection, labeling and management. Data prep curation techniques.

  • Measure key performance attributes and drive experiments/analysis

  • Build prototype deployments of working AI models on EHL/AW proof-of-concept systems

Education Qualification

  • Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with proven experience of applying AI and Deep Learning technologies to real world problems.

Desired Characteristics:

  • MS or Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 1 year analytics

  • development for industrial applications in a commercial/industrial setting

  • Demonstrated skill in data management methods• Demonstrated skill in feature extraction and realtime analytics development and deployment

  • Demonstrated skill in prescriptive analytics and analytic prototyping

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.

Additional Information

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer (https://assets.phenompeople.com/CareerConnectResources/GE11GLOBAL/en_global/desktop/assets/images/poster_screen_reader_optimized_w_supplement.pdf) . 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.

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: No

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