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Data Scientist Intern

  • GE Digital
  • Co-op/Intern
  • Posted 1/11/2017 5:56:13 PM
  • 2823026
  • Job Function: Digital Technology
  • Business Segment: Digital Predix Products & Technology
Location(s): United States ; California; San Francisco, Berkeley


About Us:
At GE Digital, we are creating technology and solutions to enable social, mobile, analytical and cloud capabilities for the Industrial Internet. The Industrial Internet is an open, global network that connects people, data and machines. It’s about making infrastructure more intelligent and advancing the industries critical to the world we live in. At GE, we believe it’s about the future of industry—energy, healthcare, transportation, manufacturing. It’s about making the world work better.

GE offers a great work environment, professional development, challenging careers, and competitive compensation.

Wise.io is a rapidly growing start-up within GE Digital that is building high-powered machine learning-based applications to solve challenging data-driven problems. We are seeking individuals with a strong background in statistics, machine learning and computer science who have a passion to build data-driven applications for our summer internship program (May – August – minimum 10-week commitment). In the past, our interns have stayed on to work full or part-time with us after the completion of their internships.
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:
In this role, you will help build customer-facing, data-driven applications to solve targeted business problems. 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 (consisting of PhDs and former university professors in statistics).

Essential Responsibilities:

Benefits of working at Wise/GE Digital:

  • We are a well-resourced, fast-growing start-up within GE Digital
  • Our Data Science team is highly motivated, talented & experienced. We love to teach!
  • Tons of growth potential: you will be involved in many parts of the business
  • Office in the San Francisco Bay Area

    Qualifications/Requirements:

    Basic Qualifications:

  • Completed a bachelor’s degree by June of 2017 and pursuing a masters or PhD - degree in Statistics, Computer Science or Applied Math

    Eligibility Requirements:

  • Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen

    Desired Characteristics:

  • Proficiency in Python
  • Experience building, testing and deploying data-driven applications
  • Demonstrated proficiency in applied machine learning
  • Hands-on experience analyzing real-world data
  • Strong oral and written communication skills
  • Industry software engineering experience
  • Experience building custom implementations of ML algorithms
  • Consulting experience; directly interacting with clients to scope a problem, build a solution, and communicate the results
  • Domain expertise in at least one of the following: imaging data time-series data, event data
  • Expertise with big-data tools: Hadoop, Spark, etc.
  • Proficiency in Python
  • Experience building, testing and deploying data-driven applications
  • Demonstrated proficiency in applied machine learning
  • Hands-on experience analyzing real-world data
  • Strong oral and written communication skills
  • Industry software engineering experience
  • Experience building custom implementations of ML algorithms
  • Consulting experience; directly interacting with clients to scope a problem, build a solution, and communicate the results
  • Domain expertise in at least one of the following: imaging data time-series data, event data
  • Expertise with big-data tools: Hadoop, Spark, etc.

    #DTR

    Locations: United States ; California; San Francisco, Berkeley

    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.

  • Apply Now    

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