Senior Staff Data Scientist

Job Description SummaryWomen's Health and X-ray is pursuing a strategic initiative to unlock incremental revenue through the development of Digital SaaS solutions. These innovative applications will be layered onto the existing global install base of Mammography (Mammo), Digital Breast Tomosynthesis (DBT), and X-ray devices—transforming hardware into intelligent platforms that deliver enhanced clinical and operational value.
The Senior 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 project centers on the development of solutions that leverage AI-driven guidance to assist patients throughout radiologic procedures. The system integrates advanced technologies including computer vision, robotics, and intelligent control to coordinate imaging tasks.
GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to create a world where healthcare has no limits. 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

As a Senior 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:

• 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.

Education Qualification:

• 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.

Technical Expertise:

• Demonstrated skill in data management methods
• Demonstrated skill in feature extraction and realtime analytics development and deployment.
• Minimum of 6+ years of professional experience in AI product development.
• 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.

Required skills:

• Proficiency in python and deep learning frameworks such such a Tensorflow, PyTorch and openCV 
• iStrong 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 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.

Domain Knowledge:

• Experience in medical device development is considered a strong asset.
• 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.
• Demonstrated skill at working in a team setting

Leadership:

• 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.

Inclusion and Diversity:

GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

We expect all employees to live and breathe our behaviours: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.

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.

#Everyroleisvital

#LI-SM1

#Hybrid

Additional Information