>> 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