Are you ready to take building analytics to the next level? Are you interested in making buildings more autonomous? Siemens Smart Infrastructure Division, a world market leader for safe, energy efficient and environmentally friendly buildings and infrastructure, is looking for a data scientist. You will work alongside data scientists, application engineers and software/cloud developers, in order to define, develop and implement the next generation of analytics for smart buildings. You should have both a big-picture vision and the drive to make that vision a reality through tactical execution.
· Develop next generation analytics for smart buildings with your machine learning and simulation skills, including fault detection and diagnostics (FDD), preventative maintenance, model predictive control, and system optimization
· Work with the Digital Buildings team to define the technical path to autonomous buildings
· Develop machine learning and AI algorithms for the next generation cloud-based building data analytics
· Related patent study and/or patent application
· Analyzing potential partner relationships for new analytics products
Required Knowledge/Skills, Education, and Experience
· Advanced engineering degree in Electrical Engineering, Computer Science, Mechanical Engineering, Control Systems, Statistics, Mathematics, or other related Engineering and Building Science domains
· Strong mathematical background (linear algebra, calculus, and statistics)
· Understanding of the smart buildings, energy and automation industry
· Data analytics programming experience (for instance Python orR)
· Experience with management and analysis of big data
· Comfortable presenting complex technical topics to business and technical audiences live or via webinars
· Self-motivated, comfortable working in a team environment while showing leadership skills to help drive the direction of the team
· Have both a big-picture vision and the drive to make that vision a reality through tactical execution
· 10% travel required
Preferred Knowledge/Skills, Education, and Experience
· 10+ years of proven success in an Electrical Engineering, Computer Science, Mechanical Engineering, Control Systems, Statistics, Mathematics or Building Technologies role
· Building energy simulation experience (for instance, EnergyPlus and Modelica)
· Knowledge of big data architecture and tools
· Knowledge of cloud-based software applications and web technology (for instance, AWS, MS Azure, MindSphere)
· Knowledge of energy storage and distributed energy systems
· Team player who can also be independent, prioritize work and thrives in a fast-paced dynamic environment
· Research and publications in the building energy or data science domains
· Familiar with Agile development process
· Proven expertise in the commercialization of solutions
Organization: Smart Infrastructure
Company: Siemens Industry, Inc.
Experience Level: Early Professional
Job Type: Full-time
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