Data Scientist - Machine Learning

Job description

  Austin, Texas
·  Research & Development
·  233239
Smart Infrastructure

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Job Description

Organization: Smart Infrastructure
Business Unit: Solution and Service Portfolio
Requisition Number: 233239
Primary Location: United States-Texas-Austin
Assignment Category: Full-time regular
Experience Level: Mid level
Education Required Level: Master's Degree
Travel Required: 25%

Division Description:

The Siemens Building Technologies Division is the North American market leader for safe and secure, energy-efficient and environmentally-friendly buildings and infrastructure. As a technology partner, service provider, and system integrator, Building Technologies has offerings for fire protection; life safety; and security as well as building automation; heating, ventilation, and air conditioning (HVAC); and energy management. Since 1995, Siemens has helped to modernize nearly 7,000 buildings worldwide, including important American landmarks such as World Trade Center Memorial, Times Square Building, Carnegie Hall, Walt Disney World and the Mount Vernon Estate.

For more information, please visit:https://www.siemens.com/us/en/home/company/about/businesses/building-technologies.html

Job Description:

Position Overview

Are you ready to take building analytics to the next level? Are you interested in making buildings more autonomous? Siemens Building Technologies 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.

Responsibilities
·  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 Strategy and Innovation team and Portfolio Managers to define the technical path to autonomous buildings
·  Related patent study and/or patent application
·  Analyzing potential partner relationships for new analytics products

Required Knowledge/Skills, Education, and Experience
·  3-5 years of experience applying Data Science and/or Machine Learning to develop commercialized product(s)
·  Advanced engineering degree in Electrical Engineering, Computer Science, Mechanical Engineering, Control Systems, Statistics, or Mathematics
·  Strong mathematical background (linear algebra, calculus, and statistics)
·  Understanding of the smart buildings, energy and automation industry
·  Data analytics programming experience (for instance MATLAB, R and Python)
·  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
·  Up to 25% travel required

Qualified Applicants must be legally authorized for employment in the United States. Qualified Applicants will not require employer sponsored work authorization now or in the future for employment in the United States.

Preferred Knowledge/Skills, Education, and Experience
·  10+ years of proven success in an Electrical Engineering, Computer Science, Mechanical Engineering, Control Systems, Statistics, or Mathematics role
·  Building energy simulation experience (for instance EnergyPlus and Modelica)
·  Knowledge of big data architecture and tools (for instance Hadoop and Spark)
·  Knowledge of cloud-based software applications and web technology
·  Familiar with Agile development process
·  Proven expertise in the commercialization of solutions

Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.

EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more,Click here .

Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more,Click here .

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