>> Note: this is a very well-paying job at Johnson Control Inc, a Fortune 500 >> company in Milwaukee. If you graduate soon and are qualified, you can >> apply to them directly (see how to apply below). If you are almost >> qualified, contact me (AnHai Doan anhaid at gmail.com) in the CS department. >> We are looking to fund a student who will be working in the Spring >> semester on projects related to Johnson Control. The student can then join >> them full time in the Summer, or go there for internship. A >> Note 2: I'm also looking for someone who's interested in working with them >> as research project or internship in Summer 2014. There is funding >> available as an RAship for at least Spring semester 2014.A >> Data ScientistA >> Please apply through >> http://www.johnsoncontrols.com/content/us/en/careers/jobs_in_the_us_and.html >> type Job Number, A 107862 >> Data Scientist - 107862 Context of Team Johnson Controls has access to a wide range of data related to buildings, including energy usage, equipment condition, operating costs, and overall building performance. Much of this data is derived from computer systems supplied by Johnson Controls that manage complex buildings (these computers are the "controls" within the corporate name Johnson Controls). Data Analytics is a newly formed team tasked with aggregating this data and using contemporary analytics techniques to deliver value to our customers, including reduced energy usage. Context of Role As Data Scientist, you will report to the Vice President, Data Analytics, and you will play a key role in creating a system to extract and process building-related data. When built out, this system is expected to touch all of the more than 1,000,000 building services customers served by Johnson Controls around the globe, including iconic structures such as the Burj Khalifa, Petronas Towers, Shanghai World Financial Center, Empire State Building, and Willis Tower, as well as many leading universities, hospitals, sports complexes and other buildings that constitute the fabric of communities worldwide. As a Data Scientist on our team, you are as excited as we are about the prospects of using data analytics to transform building operations and reduce energy usage. You are a creative problem-solver with a keen ability to see hidden problems, provide honest analysis, and use rigorous logic and methods to identify effective solutions. You handle ambiguity well, can make decisions without all the data, can shift gears comfortably and can effectively cope with change. You believe that the best work is done in teams - you're seen as a cooperative peer; candid yet fair. You can manage multiple priorities simultaneously because of your excellent planning, organization and time management skills. Short-term expectations Design, develop and evaluate highly innovative machine learning models for big data Research and implement machine learning and statistical techniques to create scalable solutions to building-related problems Work closely with data delivery teams to integrate solutions into tools used by Johnson Controls employees and customers Build complex data sets from multiple data sources, both internally and externally Long-term expectations Build alignment with multiple teams and departments to integrate our work smoothly with theirs, thereby eliminating duplication and redundancy Help to establish team as a point of differentiation for Johnson Controls Emerge as a thought leader within Johnson Controls and the Industry Qualifications Experience Requirements Minimum of 3 years of hands-on research or professional experience in predictive modeling and large data analysis Skill Requirements Contemporary big data technologies including Hadoop, Hbase, MapReduce, and Hive Data querying/analytics tools such as R, Matlab, Python Strong knowledge of relational databases Education Requirements Bachelor's degree in Computer Science, Math, Statistics or related technical major