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Sr Data Scientist

  • GE Digital
  • Experienced
  • Posted 9/7/2017 11:49:35 PM
  • 2972566
  • Job Function: Digital Technology
  • Business Segment: Digital Predix Products & Technology
Location(s): United States; California; San Francisco


About Us:
GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.
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, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Role Summary:
We are looking for an expert Data Scientist to join our world-class team. We are seeking individuals with strong backgrounds in statistics, machine learning and computer science who have demonstrated success in building data-driven applications. On our team, you will be in charge of building ML applications to solve targeted problems in industrial and healthcare use cases.

Essential Responsibilities:

You will be given the freedom to dive deeply into a variety of technologies and explore cutting edge
ML approaches. You will have the full power of our proprietary, patented machine learning
technologies at your disposal as well as the support of our talented Data Science Team, which
consists of several PhDs and ex-professors from top-tier universities.

In short, by joining our team you’ll be immersed in a start-up culture that is backed by the
resources of a Fortune 15 company with access to some of the most valuable and compelling data
in existence. You’ll work with some of the top minds in statistics and ML to build and deploy high value
applications on top of that data.



Qualifications/Requirements:

Basic Qualifications:

  • Master's or PhD degree in Statistics, Machine Learning, Computer Science or related
    field

Eligibility Requirements:

  • Legal authorization to work in the
    U.S. is required. GE may agree to sponsor an individual for an employment visa now or in the
    future if there is a shortage of individuals with particular skills.
  • Any offer of employment is conditioned upon the successful completion of a background
    investigation and drug screen
  • Must be willing to work out of an office located in San Francisco, CA
  • Must be willing to travel roughly 10% of the time
  • Pursuant to the Los
    Angeles/San Francisco Fair Chance Ordinance, we will consider for employment qualified
    applicants with arrest and conviction records



Desired Characteristics:

  • Demonstrated prowess in applied machine learning
  • Experience building, testing and deploying data-driven software applications
  • Proficiency in Python and a strong software development background
  • Hands-on experience analyzing real-world data
  • Strong oral and written communication skills
  • Ability to effectively communicate quantitative results to non-technical stakeholders
  • Training in deep learning
  • Domain expertise in one or more of the following areas: image analysis, healthcare
    analytics, industrial applications
  • Experience with big-data tools, e.g., Hadoop, Hive, Spark
  • Consulting experience – directly interacting with clients to scope a problem, build a
    solution, and communicate the results
  • Experience building custom implementations of ML algorithms
#DTR


Locations: United States; California; San Francisco

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, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.


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