Senior Associate – Machine Learning and Data Analytics
Posted 1/2/2018 6:49:38 PM
Job Function:Digital Technology
Business Segment: Corporate Business Innovations
Location(s): United States; Massachusetts; Boston
About Us: General Electric (NYSE: GE) Ventures’ New Business Creation (NBC) Unit is a multi-disciplinary entrepreneurial team that creates new businesses that are strategic to GE. We actively research unmet customer needs, seek new ideas, and experiment with new disruptive concepts with the sole purpose of prospecting good incubation opportunities. We do early market validation and rapidly scale the concept by leveraging a network of entrepreneur-in-residence, agile development resources, and unmatched access to actual customers for pilots and trials. Seasoned veterans with deep subject matter and operations expertise jointly work with the new startup to address the technology, market, and business risks inherent in any new venture. We are seeking enterprising individuals who are comfortable working in a fast-paced, agile environment as we aggressively seek additional prime incubation opportunities in the areas of Industrial IoT and Energy, Software and Analytics, Healthcare IT, and Advanced Manufacturing. 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: GE Ventures is looking for a Senior Associate in the area of Machine Learning and Data Analytics to join as a key member of the New Business Creations Growth Equity team. The candidate should be well experienced with machine learning and advanced data analytics techniques and will work cross-functionally with the business analysts, engineering, product, sales and delivery teams to understand customer data and rapidly develop marketable insights.
Essential Responsibilities: This role requires good hands-on knowledge of advanced data analytics and machine learning technologies and platforms and their use in industrial verticals; the ability to work in a cross-functional environment; and a vision for how connected sensors, robotic systems, and analytics can be used to deliver intelligent digital industrial applications.
Get a deep understanding of existing and new portfolio companies’ product offering and product strategy
Working very closely with portfolio companies’ engineering team, develop early versions of marketable analytics solutions
Working very closely with portfolio companies’ product team, help in prioritization of product features by gathering requirements Working very closely with portfolio companies’ marketing teams, develop successful go-to-market programs. This includes developing concept designs and leading customer demonstrable capabilities that highlight analytics and machine learning capabilities
Master’s Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math) or equivalent degree
Minimum 5 years of relevant experience, including at least 2 years as Engineering-Manager for industrial products
Minimum 2 years’ experience in delivering SaaS market solutions, specifically for services with very strong data analytics and machine learning capabilities
Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job
Ph.D. with specialization in one of the following: Advanced Data Analysis, Statistical Modeling, or Machine Learning
Strong technological knowledge in analytics and enterprise software
Inherent interest in connected systems for industrial customers
Strong problem solving skills along with excellent verbal and written communication skills
Excellent ability to effectively interface with customers
Ability to takes ownership of small and medium sized tasks and deliver while mentoring and helping team members
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