Offers “General Electric”

Expires soon General Electric

Data Scientist

  • USA
  • Studies / Statistics / Data

Job description

3225739
Additional Cities

Waukesha
Career Level

Experienced
Relocation Assistance

Yes
Business

GE Healthcare
Business Segment

Healthcare Global Services
Function

Digital Technology
Country/Territory

United States
Additional States/Provinces

Wisconsin
Postal Code

53188-1677
Role Summary/Purpose

In this new role inside MR Engineering organization, the Data Scientist will support the engineering teams across segments and products addressing statistical, machine learning and data understanding problems to drive improved product quality. 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 parametric data sets, system logs and device history datasets.
Essential Responsibilities

Duties include (but are not limited to):
1. Create, develop and maintain statistical algorithms needed to support analysis and strategical decisions for MR fleet management.
2. Identify opportunities for design improvements by performing retrospective analysis of historical machine log data vs service dispatches, apply statistical and machine learning techniques to provide insights on data patterns, asset usage, and design characteristics to funnel product quality improvements.
3. Produce statistical analysis of the data to support product quality improvement decisions.
4. Produce data visualizations to demonstrate learnings and opportunities that support a wide range of stakeholders.
5. Collaborate with Software and Hardware engineers to identify and address gaps in MR system monitoring.
6. Collaborate with Software engineers to improve data quality including but not limited to data file structure, data formats and units, and frequency of logging.
7. Collaborate and learn from peers within the Imaging business to ensure we leverage best practice and reduce duplicative work.
8. Work with business and technical leaders to prioritize data needs and define new process improvement opportunities.
9. Develop applications including remote monitoring and diagnostics across infrastructure.
10. Develop, verify, and validate analytics to address customer needs and opportunities.
11. Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
12. Work with data engineers on data quality assessment, data cleansing and data analytics.
Qualifications/Requirements

1. Bachelor’s Degree in a Computer Science, Statistics, or related fields.
2. 5 years relevant work experience
3. Experience utilizing statistical analysis tools (Python, R, etc.)
4. Experience using data visualization technologies in Kibana, Spotfire, Tableau, Python, R, Javascript
5. Experience with extracting data from large databases (SQL, Hue, Postgres, Hive QL, Lucene, etc.)
6. Demonstrated skill in data cleaning, data quality assessment, and using analytics for data assessment
7. Excellent presentation and communication skills, with ability to lead and influence multiple audiences
8. Experience in the full data science lifecycle, from business understanding to model operationalization
9. Excellent teamwork, coordination, influencing and communication skills
10. Ability to develop timely and effective solutions for challenging design problems
11. Ability to lead global teams in fast-paced cross-functional environments

Quality Specific Goals:
1. Aware of and comply with the GEHC Quality Manual, Quality Management System, Quality Management Policy, Quality Goals, and applicable laws and regulations as they apply to this job type/position.
2. Complete all planned Quality & Compliance training within the defined deadlines.
3. Identify and report any quality or compliance concerns and take immediate corrective action as required
Desired Characteristics

1. Ph.D. Degree in a “STEM” major (Science, Technology, Engineering, Mathematics)
2. Experience with the Elastic technology stack
3. Familiarity with cloud systems (AWS, Azure, etc.)
4. Familiarity with big data technologies (Data Lakes, NoSQL databases, Edge computing, etc.)
5. Background in healthcare, pharma, or diagnostic imaging industry
6. Knowledge of GE Healthcare MR Products
7. Knowledge of GE Healthcare engineering tools and processes
8. Knowledge of the GEHC Quality Management System
#merlin
About Us

GE (NYSE:GE) drives the world forward by tackling its biggest challenges. By combining world-class engineering with software and analytics, GE helps the world work more efficiently, reliably, and safely. GE people are global, diverse and dedicated, operating with the highest integrity and passion to fulfill GE’s mission and deliver for our customers. www.ge.com
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is anEqual Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.
Additional Eligibility Qualifications

GE 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).
Primary Country

United States
Primary State/Province

Wisconsin
Primary City

Waukesha

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