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.
GE offers a great work environment, professional development, challenging careers, and competitive compensation.
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: The Principal Data Scientist will guide, lead, and work in teams as technical domain expert addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.
Essential Responsibilities: As a Principal Data Scientist, you will guide, lead, or otherwise contribute to data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.
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.
In this role you will:
Partner with GE Software Engagement Managers to shape Statements of Work for Data Science opportunities and GE Software Solutions
Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value
Guide junior Data Scientists to develop, verify, and validate analytics to address customer needs and opportunities.
Provide technical project and program oversight to ensure appropriate technical rigor is applied to Data Science engagements
Guide cross-functional teams to translate algorithms into commercially viable products and services.
Guide and otherwise contribute to technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
Partner with data engineers on data quality assessment, data cleansing and data analytics efforts
Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
Communicate methods, findings, and hypotheses with stakeholders.
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