Business Segment: Digital Predix Products & Technology
Location(s): United States; California; San Francisco
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.
Wise.io is a well-resourced, rapidly growing team inside of GE Digital whose charter is to build machine learning powered applications on top of GE’s treasure trove of data assets. Our current team built a successful start-up business by putting sophisticated ML systems into production at scale. Now we are leveraging our ML application platform to drive massive value in a range of data-driven use cases across the various GE business units.
Benefits of working at GE Digital/Wise.io:
Extremely high-value use cases across many business units of one of the most influential companies in the world
Our team is highly motivated and talented. Like you, we live & breathe ML!
Tons of growth potential; you will be involved in many parts of the business
Office in the San Francisco Bay Area
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.
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.
Master's or PhD degree in Statistics, Machine Learning, Computer Science or related field
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
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
Locations: United States; California; San Francisco
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