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GE HealthCare · 3 days ago

Staff Data Scientist

Waukesha, WI

Full-time

Hybrid

Senior Level, Lead/Staff

$136K/yr - $203K/yr

6+ years exp

GE HealthCare is pursuing a strategic initiative in Women's Health and X-ray to develop Digital SaaS solutions. The Staff Data Scientist will work on statistical, machine learning, and data understanding problems, contributing to the development and deployment of solutions that leverage AI-driven guidance in radiologic procedures.

AppsHealth CareHealth DiagnosticsHome ImprovementHome RenovationInternetMedical

Growth Opportunities

No H1B

Responsibilities

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

Qualification

PythonDeep learning frameworksAI image processingModel optimizationData management methodsFeature extractionPrescriptive analyticsLarge-scale CNNsCloud computingTeamworkCritical thinkingPresentation skills

Required

Bachelor's Degree in Computer Science or 'STEM' Majors (Science, Technology, Engineering and Math)

Minimum of 6 years of professional experience in AI product development

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

Proficiency in python and deep learning frameworks such as Tensorflow, PyTorch and openCV

Strong background in AI image processing and computer vision algorithms, including training and fine-tuning image classification and segmentation models

Experience with model optimization for latency and throughput in online systems

Experience with large-scale CNNs, vision transformers, and self-supervised learning

Experience with the full AI lifecycle, including data curation, model development, and model validation for production

Proven ability to collaborate with ML engineers to integrate models into production

Skilled in model validation for product readiness, with a strong focus on writing production-quality, maintainable code

Experience in medical device development is considered a strong asset

Demonstrated skill in defining and delivering customer value in these areas

Demonstrated skill at working in a team setting

Demonstrated skill in critical thinking and problem solving methods

Demonstrated skill in presentation and influencing skills

Legal authorization to work in the U.S. is required

Preferred

Undergraduate or graduate studies in biomedical engineering is highly desired

Experience with multimodal data integration and systems combining images, video, and speech is highly desired

Experience with cloud computing platform, such as AWS or Azure is highly desired

Experience working with robotic simulation is desired

Experience in medical imaging AI development is highly desired

Background in robotics or automation technologies is advantageous

Background in automated vehicle or robotic guidance is highly desired

Benefits

Medical

Dental

Vision

Paid time off

A 401(k) plan with employee and company contribution opportunities

Life

Disability

Accident insurance

Tuition reimbursement

Company

GE HealthCare

Glassdoor4.2

GE Healthcare provides a wide range of medical technologies and services to healthcare providers and researchers. It is a sub-organization of General Electric.

Founded in 1892

Chicago, Illinois, USA

10001+ employees