GE HealthCare · 8 hours ago
Sr. Data Scientist (No Sponsorship or OPT)
GE HealthCare is focused on transforming healthcare through innovative digital solutions. The Sr Data Scientist will work on developing and deploying machine learning and statistical methods to enhance clinical and operational value in women's health and X-ray technologies.
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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
Required
Master's or PhD in Computer Science or 'STEM' Majors (Science, Technology, Engineering and Math)
Undergraduate or graduate studies in biomedical engineering or similar fields is highly desired
Minimum of 7 years of professional experience in AI product development
Experience in medical device 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
Experience developing and deploying production-grade AI/machine learning models at scale, delivering measurable business impact through improved efficiency, revenue growth or automation in real-world environments
Demonstrated ability to translate business problems into ROI-driven AI solutions, including end‑to‑end ownership from problem framing and model development to operationalization, monitoring, and continuous improvement in production
Proficiency in python and deep learning frameworks such such a Tensorflow, PyTorch and openCV
Strong background in AI image processing and computer vision algorithms, including training and fine-tuning image classification and segmentation models
Demonstrated skill at working in a team setting
Demonstrated skill in critical thinking and problem solving methods
Demonstrated skill in project ownership and overseeing AI solution development interdentally
Demonstrated skill in presentation and influencing skills
Preferred
Experience with model optimization for latency and throughput in online systems
Experience with large-scale CNNs or LLMs, vision transformers (VLMs), 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 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
Demonstrated skill in defining and delivering customer value in these areas
Experience with natural language processing is advantageous
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
GE Healthcare provides a wide range of medical technologies and services to healthcare providers and researchers. It is a sub-organization of General Electric.
Funding
Current Stage
Public CompanyTotal Funding
$5.52BKey Investors
Bill & Melinda Gates Foundation
2024-11-07Post Ipo Secondary· $1.17B
2024-09-12Post Ipo Secondary· $1.29B
2024-02-16Post Ipo Secondary· $1.07B
Leadership Team
Recent News
2026-01-16
Medical Device Network
2026-01-16
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