Xylem Intern - Data Science - Summer 2018 in Morrisville, North Carolina
Xylem (XYL) is a leading global water technology company committed to developing innovative technology solutions to the world’s water challenges. The Company’s products and services move, treat, analyze, monitor and return water to the environment in public utility, industrial, residential and commercial building services settings. With its October 2016 acquisition of Sensus, Xylem added smart metering, network technologies and advanced data analytics for water, gas and electric utilities to its portfolio of solutions. The combined Company’s nearly 16,000 employees bring broad applications expertise with a strong focus on identifying comprehensive, sustainable solutions. Headquartered in Rye Brook, New York with 2016 revenue of $3.8 billion, Xylem does business in more than 150 countries through a number of market-leading product brands.
The name Xylem is derived from classical Greek and is the tissue that transports water in plants, highlighting the engineering efficiency of our water-centric business by linking it with the best water transportation of all – that which occurs in nature. For more information, please visit us at www.xylem.com .
Sensus, a Xylem brand, helps a wide range of public service providers – from utilities to cities to industrial complexes and campuses – do more with their infrastructure to improve quality of life in their communities. We enable our customers to reach farther through the application of technology and data-driven insights that deliver efficiency and responsiveness. We partner with them to anticipate and respond to evolving business needs with innovation in sensing and communications technologies, data analytics and services. Learn more at sensus.com and follow @SensusGlobal on Facebook, LinkedIn and Twitter.
The Role: Sensus, a Xylem brand is seeking a Data Science intern. You will be analyzing millions of time series using state of the art statistical methods, advanced machine learning, and big data technologies. Our data science team is a friendly collaborative environment. If you are excited and passionate to work on state-of-the art technology trends we want to hear from you!
Passion for applications, analytics, storage and distributed systems
Enjoy working in a fast-paced agile environment using Scrum
Excellent written and verbal communication skills
Strong customer focus
Currently an accredited University studying toward a Bachelor’s of Science degree in Computer Science, Statistics or equivalent.
Experience with object oriented coding languages such as Java and Python
Experience with R programming language
Ability to work collaboratively within a team environment of engineers to meet aggressive goals and high quality standards
Demonstrated experience working with cross functional teams
Experience with online distributed systems and platform infrastructure design and implementation
Experience with the Hadoop ecosystem and Spark
Experience in databases, analytics, big data systems or business intelligence products
(The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)
Light lifting (20-25 lbs.), office environment
Regularly required to sit or stand, reach, bend and move about the facility
(The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)
Office: Standard office equipment; work usually performed in an office setting free from any disagreeable elements.
Standard weekly job hours: 40 hours