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 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.As a 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 GEHC 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 requirementsDevelop, verify, and validate analytics to address customer needs and opportunitiesWork alongside software developers and software engineers to translate algorithms into commercially viable products and servicesWork in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analyticsPerform exploratory and targeted data analyses using descriptive statistics and other methodsWork with data engineers on data quality assessment, data cleansing and data analyticsGenerate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomesCommunicate methods, findings, and hypotheses with stakeholdersLegal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.* No OPT or Sponsorship for this role *RequirementsBachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math)Master’s or PhD is advantageousMinimum of 6 years of professional experience in AI product developmentTechnical ExpertiseDemonstrated skill in data management methodsDemonstrated skill in feature extraction and realtime analytics development and deploymentDemonstrated skill in prescriptive analytics and analytic prototypingSpecific skills includeProficiency in python and deep learning frameworks such as Tensorflow, PyTorch and openCVStrong background in AI image processing and computer vision algorithms, including training and fine-tuning image classification and segmentation modelsExperience with model optimization for latency and throughput in online systemsExperience with large-scale CNNs, vision transformers, and self-supervised learningExperience 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.Domain KnowledgeExperience in medical device development is considered a strong assetDemonstrated skill in defining and delivering customer value in these areasLeadershipDemonstrated skill at working in a team settingDemonstrated skill in critical thinking and problem solving methodsDemonstrated skill in presentation and influencing skillsDesired CharacteristicsUndergraduate or graduate studies in biomedical engineering is highly desiredExperience with multimodal data integration and systems combining images, video, and speech is highly desiredExperience with cloud computing platform, such as AWS or Azure is highly desiredExperience working with robotic simulation is desiredExperience in medical imaging AI development is highly desiredBackground in robotics or automation technologies is advantageousBackground in automated vehicle or robotic guidance is highly desired#Hybrid#LI-MH1We will not sponsor individuals for employment visas, now or in the future, for this job opening.For U.S. based positions only, the pay range for this position is $132,000.00-$198,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.Additional InformationGE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.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 HealthCare 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).While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.Relocation Assistance ProvidedNo #J-18808-Ljbffr