Data Scientist - Building Technologies - Buffalo Grove, IL

Buffalo Grove, Illinois
04 Oct 2016
03 Nov 2016
Oil and Gas
Contract Type
Full Time
Division Building Technologies (BT)
Job Type Regular

Business Unit Service
Job Time Full-Time

Functional Area ENG - Engineering
Experience Level Mid Level

Req ID 155873
Required Education Bachelors Degree or equivalent experience

Location IL - Buffalo Grove
Required Travel 30%

Division Description
Siemens is a global technology powerhouse that has stood for engineering excellence, innovation, quality, reliability and internationality for more than 165 years. As a global technology company, Siemens is rigorously leveraging the advantages that this setup provides. To tap business opportunities in both new and established markets, the Company is organized in nine Divisions: Power and Gas, Wind Power and Renewables, Energy Management, Building Technologies, Mobility, Digital Factory, Process Industries and Drives, Healthineers and Financial Services.

The Siemens Building Technologies Division is the world market leader for safe, energy efficient and environmentally friendly buildings and infrastructure. As a technology partner, consultant, service provider, system integrator and product supplier, Building Technologies offers fire protection, security, building automation, heating, ventilation and air conditioning (HVAC) and energy management products and services.

For more information, please visit:

Job Description
Position Overview:

As a Data Scientist at Siemens, you will define, develop and implement the next generation of analytics for the smart buildings market based on your industry experience and your contact with Siemens customers and prospects. You must possess a unique blend of business and technical savvy; a big-picture vision, and the drive to make that vision a reality through tactical execution.. This data scientist role is key both strategically and tactically. You need to be able to see and sell the big picture while keeping track of all the details so your analytics are delivered on time and to spec.


• Develop and manage next generation analytics for smart buildings, including Fault Detection and Diagnostics (FDD), Preventative Maintenance analytics, Predictive Maintenance analytics, and System Optimization analytics
• Managing the entire analytics life cycle from strategic planning to tactical activities
• Specifying market requirements for current and future analytics by conducting market research supported by on-going visits to customers and non-customers.
• Driving a funnel and catalog of analytics and collaborating with a global team.
• Managing the process to collect analytic ideas from customers and internal field offices.
• Working at customer sites and local field offices to stand up analytics driven projects.
• Establish training plan and help develop curriculum for customers and internal stakeholders.
• Developing and implementing with a team the company-wide go-to-market plan, working with all departments to execute.
• Analyzing potential partner relationships for the product.

Required Knowledge/Skills, Education, and Experience:

• Self-motivated individuals who are comfortable working in a team environment while showing leadership skills to help drive the direction of the team.
• Comfortable presenting complex technical topics to business and technical audiences live or via webinar.
• Strong mathematical background (linear algebra, calculus, and statistics).
• Understanding of the smart buildings, energy and automation industry.
• Understanding how to write requirements.
• Knowledge of cloud-based software applications and web technology.
• Must be able to travel to support field and customer needs - up to 25%.
• 10+ years of proven success in an Electrical Engineering, Computer Science, Mechanical Engineering, Control Systems, Statistics, or Mathematics role plus proven expertise in the commercialization of solutions.
• Advanced engineering degree in Electrical Engineering, Computer Science, Mechanical Engineering, Control Systems, Statistics, or Mathematics desirable.
Siemens encourages qualified long-term unemployed individuals to apply for open positions.

Offer of employment with Siemens is conditioned upon the successful completion of a background check and drug screen, subject to applicable laws and regulations.

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, disability status, 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. Click here to learn more.

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