This role is a hybrid position, in-office 2-3 days/week out of Chicago or Waukesha, WI office*
As a Sr 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.
Requirements:
Education-
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
Technical Expertise-
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
Specific Skills Include-
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
Preferred Skills:
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.
Leadership-
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
Hybrid
LI-MH1
We 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 $139,200.00-$208,800.00 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.
GE 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 Provided: Yes
