GE Job - 29018549 | CareerArc
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Company: GE
Location: Waukesha, WI
Career Level: Entry Level
Industries: Manufacturing, Engineering, Aerospace

Description

Role Summary: The Staff Data Scientist - Reliability will work in and lead teams as a technical domain expert 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, optimization, operational research, and statistical methods on a variety of structured and unstructured datasets.
Essential Responsibilities: We are embarking on an effort to help build the next generation of smart GEHC computed tomography (CT), magnetic resonance (MR), and other imaging systems. These systems will be designed to optimize new AI capabilities, product quality, and customer satisfaction. In order to accomplish this, we will delve into current GEHC imaging systems, learn where we need to focus improvements, and assist engineers in new system design. You will be responsible for moving product quality and reliability of GEHC imaging systems into the age of machine intelligence. In this role, you will work across Engineering, Services Operations, and Digital Service Technology teams.
In this role, you will:
• Be responsible for providing technical leadership and defining, developing, and evolving data and advanced analytics products in a fast paced and agile development environment using the latest software development technologies, infrastructure, and methods in data science
• Work with Project and Product Managers to understand product requirements and execute to the project vision
• Translate machine intelligence requirements and project vision into prioritized list of user stories, developing and delivering intelligence products to required timelines and quality standards
• Provide leadership in data creation, formatting, gathering, and standardization to enable efficient and effective machine learning
• Drive and support increased efficiency across the teams to eliminate duplication of effort
• Support product and technology reuse and scalability
• Support process improvements which guide development, sustaining, and support activities
• Drive world-class quality in the development and support of products
• Communicate effectively with a wide range of business, engineering, and scientific teams
• Engage subject matter experts in successful transfer of complex domain knowledge
• Support agile development, continuous improvement, software and product security, documentation practices, refactoring and testing
• Write code that meets standards and delivers desired functionality using the technology selected for the project
• 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.
• Collaborate with software and hardware engineers to identify and address gaps in system monitoring
• Collaborate with software engineers to improve data quality including but not limited to data file structure, data formats and units, and frequency of logging
• Collaborate and learn from peers within the Imaging business to ensure we leverage best practices
Qualifications/Requirements: • Degree in STEM Majors (Science, Technology, Engineering and Math), computer science, operations research, econometrics, data science
• BS degree with minimum of 5 years, Master's degree with 3 years, PhD with 1 year professional experience

Eligibility Requirements: (Country Specific)
• Legal 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.
• Must be willing to travel as needed to support team
Must be willing to work in an offie in Waukesha, WI
Desired Characteristics: Technical Expertise:
• Master's Degree/ PhD
• Experience in reliability engineering, estimating, and forecasting
• Enthusiasm, curiosity and desire to solve problems with data
• Experience with big data technologies
• Experience working on software projects in the healthcare domain
• Experience utilizing statistical/machine learning tools (Python, R, etc.)
• Experience with data visualization technologies (Kibana, Spotfire, Tableau, Python, R, Javascript, etc.)
• Experience with extracting data from large databases (SQL, Hue, Postgres, Hive QL, Lucene, etc.)
• Demonstrated expertise in modeling, and in the development and application of descriptive, predictive, and prescriptive analytics
• Demonstrated skill in data cleaning, data quality assessment, and using analytics for data assessment
• Experience in the full data science lifecycle, from business understanding to model operationalization

Business Acumen:

• Demonstrates the initiative to explore alternate technology and approaches to solving problems
• Skilled in breaking down problems, documenting problem statements and estimating efforts
• Demonstrates awareness about competitors and industry trends
• Has the ability to analyze impact of technology choices

Leadership:

• Takes ownership of small and medium sized tasks and delivers while mentoring and helping team members
• Ensures understanding of issues and presents clear rationale
• Able to speak to mutual needs and work towards win-win solutions
• Uses two-way communication to influence outcomes and ongoing results
• Identifies misalignments with goals, objectives, and work direction against the organizational strategy, making suggestions to course correct
• Continuously measures deliverables of self and team against scheduled commitments
• Effectively balances various, competing objectives

Personal Attributes:
• Strong oral and written communication skills
• Strong interpersonal skills
• Effective team building and problem solving abilities
• Persistent to completion, especially in the face of overwhelming odds and set
#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 an Equal 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. Additional Locations: United States;Wisconsin;Waukesha;


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