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Sr Data Scientist
  • Python
  • SQL
  • SAS
  • Machine Learning
  • Big Data
  • Tableau
  • Database
  • Data Visualization
  • Modeling
  • Hadoop
  • Scala
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General Electric
Waukesha, WI 53188
119 days ago

    Role Summary:

    We are embarking on an effort to help build the next generation of smart GEHC imaging systems. These systems will be designed to improve Artificial Intelligence (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 designs.

    Essential Responsibilities:

    You will be responsible for moving product quality and reliability of GE Healthcare (GEHC) imaging systems into the age of machine intelligence. In this role, you will work across Engineering, Services Operations, and Digital Services Technology teams. You will contribute to the development and deployment of modern machine learning, optimization, operational research, and statistical methods on machine data and device service history datasets.

  • Be responsible for providing technical leadership and defining, developing, and evolving data and advanced analytics products in a fast paced and agile development environment
  • Work with Project/Product Managers and stakeholders to understand product requirements and execute to the project vision
  • 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.
  • 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
  • Communicate effectively with a wide range of business, engineering, and scientific teams
  • Support product and technology reuse and scalability
  • Drive world-class quality in the development and support of products
  • Engage subject matter experts in successful transfer of complex domain knowledge
  • Develop software that meets standards and delivers desired functionality using the technology selected for the project

    Qualifications/Requirements:

  • Degree or experience in STEM (Science, Technology, Engineering and Math) fields such as computer science, operations research, econometrics, data science
  • BS degree with minimum of 5 years, Master’s degree with 3 years, PhD with 1 year relevant professional experience, or significant professional experience
  • 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 at an office in Waukesha, WI

    Desired Characteristics:

  • Demonstrated expertise in modeling, and in the development and application of descriptive, predictive, and prescriptive analytics utilizing statistical/machine learning tools such as Python, R, etc.
  • Demonstrated skills in data cleaning, data quality assessment, and using analytics for data assessment
  • Experience in reliability engineering and software reliability
  • Experience in diagnostics/prognostics and system health monitoring
  • Experience in physics-based modeling and simulation
  • Experience in data visualization and storytelling and proficiency with data visualization tools such as Kibana, Spotfire and Tableau
  • Experience with big data technologies (AWS, Azure, Hadoop)
  • Enthusiasm, curiosity and desire to solve problems with data
  • Experience working on software projects in the healthcare domain
  • Experience with extracting data from large databases (SQL, Postgres, Hive QL, etc.)
  • 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 different, 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 setbacks
    • Pushes for results; pushes others for results through team spirit and collaboration

    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. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

    Additional Locations:

    United States;Wisconsin;Waukesha;

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