part of a team developing innovative data driven solutions that fuse distributed sources of data, perform large scale learning and reasoning, and integrate results in collaborative environments to support the business needs of Siemens companies in energy, industry, and healthcare
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part of a team developing innovative data driven solutions that fuse distributed sources of data, perform large scale learning and reasoning, and integrate results in collaborative environments to support the business needs of Siemens companies in energy, industry, and healthcare
Company: Siemens Corporate Research
Location: Princeton, NJ
Web: www.usa.siemens.com/en/about_us/research.htm
Req ID: 91196
Required Education: Doctorate Degree
Required Travel: 10%
Job Description
Siemens Corporate Research (SCR), a Division of Siemens Corporation located nearby Princeton, NJ, has an immediate opening for a full-time Research Scientist position to work on R&D projects in data mining and machine learning.
The candidate will work in a team with other researchers and engineers to develop innovative data driven solutions that fuse distributed sources of data, perform large scale learning and reasoning, and integrate results in collaborative environments to support the business needs of Siemens companies in energy, industry, and healthcare. Such applications include
- Preventive maintenance of large equipment such as turbines, trains, buildings, and medical scanners utilizing sensors data, logs messages, and service reports.
- Simulation, deployment, operation and servicing of systems for renewable energy generation, storage, integration into the smart grid.
- Prediction, optimization, and visualization of urban traffic flow patterns based on distributed data streams.
The ideal candidate will be well-versed in state of the art machine learning and data mining theories and experienced in applying them to large scale commercial, scientific or industrial applications. Proficiency in distributed computing and stream mining is a plus.
Responsibilities:
- Apply state-of-the-art machine learning and data mining methods to real world problems providing competitive advantage to the customer.
- Develop novel solutions to challenging problems in mining large, heterogeneous datasets.
- Quick prototyping, feasibility studies, specification and implementation of data analytics software product components.
- Interface with customers to understand algorithm requirements and present results.
Skills & Qualifications:
- Ph.D. or advanced degree in Computer Science, Electrical Engineering or equivalent relevant discipline or experience.
- Strong theoretical and practical background in data mining and machine learning with proven record in research and innovative thinking
- 5-8 years of work experience in related field and successful demonstration of key responsibilities.
- Well versed in Java or C\C++ and scientific computing (Matlab, R, etc.)
- Experience in software design and development in a team is a plus.
- Outstanding written and verbal communication skills
- Excellent interpersonal skills and can do attitude.
- Strong collaboration skills and ability to thrive in a virtual and fast-paced environment
Siemens Corporate Research (SCR), a division of Siemens Corporation, located in Princeton, New Jersey (USA) is Siemens' largest research center outside of Europe. For more than thirty years, leading organizations in the private and public sectors have turned to the company for its expertise in breaking down barriers to innovation and delivering real business value. With more than 250 scientists, engineers, and technical experts, the company helps its customers and strategic partners grow their businesses in the fields of healthcare, automation, production, energy, industry, information and communications. SCR offers a stimulating research environment and rewarding career opportunities.
Siemens is an Equal Opportunity Employer encouraging diversity in the workplace. EOE/AA/MFDV
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