Staff Data Scientist – In Office Role
GE HealthCare
full-time
Posted on:
Location Type: Office
Location: United States
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Job Level
About the role
- 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
Requirements
- Bachelor's Degree in Computer Science or 'STEM' Majors (Science, Technology, Engineering and Math)
- Master’s or PhD is advantageous
- 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
- 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
- No specific benefits mentioned
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data management methodsfeature extractionrealtime analytics developmentprescriptive analyticsanalytic prototypingpythondeep learning frameworksAI image processingcomputer vision algorithmsmodel optimization
Soft Skills
collaborationcritical thinkingproblem solvingpresentation skillsinfluencing skillsteamworkcustomer value delivery
Certifications
Bachelor's Degree in Computer ScienceMaster’s or PhD in relevant field