Business Segment: Digital Predix Products & Technology
Location(s): United States ; California; San Ramon
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.
At GE Software, 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. Stay connected with us. Join our Talent Community!
The Principal Data Scientist will guide teams to develop and deploy modern machine learning, operational research, semantic analysis, and statistical methods for finding insights in large data sets.
As a Principal Data Scientist, you will be setting standards, identifying best techniques, influencing data science teams to use the latest technology to solve some of the worlds most complex Industrial data science problems, including remote monitoring and diagnostics across infrastructure and industrial sectors, contract margin review, and operations optimization.
In this role, you will:
Set the Predix data science methodology and frameworks via standards and frameworks.
Gather and analyze data, devise innovative data science solutions and build prototypes
Enable development of high-performance algorithms for solutions in scalable, product-ready code
Guide data science teams to develop, verify, and validate analytics leveraging the latest data science techniques
Contribute to the exploration and creation of new scientific understanding
Initiate and propose unique and promising modeling projects, develop new and innovative algorithms and technologies, pursuing patents where appropriate
Stay current on published state-of-the-art algorithms and competing technologies
Maintain world-class academic credentials through publications, presentations, external collaborations and service to the research community
Participate in academic conferences and publish research papers
Communicate methods, findings, and hypotheses with stakeholders.
PhD in Mathematics, Statistics, Machine Learning or a related field, with a previous major in Computer Science with minimum of 10 years of industry experience as a Data Scientist
Desired Characteristics: Must Haves:
Experience with statistical learning techniques, including: Support Vector Machines; Regularization Techniques; Boosting, Random Forests, and other
Ensemble Methods Strong implementation experience with high-level languages, such as R, Python, Perl, Ruby, Scala or similar scripting languages
Familiarity with Linux/Unix/Shell environments
Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data
Experience with end-to-end modeling projects, from research to solutions to analytic products
Excellent industrial track record of proposing, conducting and reporting results of original research, plus collaborative research with publications
Strong communication skills both written and oral Knowledge of Hadoop programming environments (e.g. Pig, Hive)
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 travel at least 10%
Must be willing to work out of an office located in San Ramon, CA
Prior experience working at an industrial or IoT organization with industrial data
Experience leading data science teams
Knowledge of or experience with running applications on Cloud Foundry
Creates a trusting and cooperative environment fostering creativity and knowledge sharing. Demonstrated skill in critical thinking and problem solving methods
Demonstrated awareness of how to succeed in ambiguous circumstances
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