Data Scientist

9 days

Job Summary


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Job Description


Xylem |ˈzīləm|

1) The tissue in plants that brings water upward from the roots;
2) a leading global water technology company.

We’re a global team unified in a common purpose: creating advanced technology solutions to the world’s water challenges. Developing new technologies that will improve the way water is used, conserved, and re-used in the future is central to our work. Our products and services move, treat, analyze, monitor and return water to the environment, in public utility, industrial, residential and commercial building services settings. Xylem also provides a leading portfolio of smart metering, network technologies and advanced analytics solutions for water, electric and gas utilities. In more than 150 countries, we have strong, long-standing relationships with customers who know us for our powerful combination of leading product brands and applications expertise with a strong focus on developing comprehensive, sustainable solutions. For more information, please visit us at

If you are excited and passionate about helping us solve water, we want to hear from you!

The Role:  Xylem seeks to hire a New Graduate Data Scientist with a desire to join a team delivering Big Data applications in the Cloud. We’re focused on helping utility companies visualize and make use of the petabytes of data coming in from their smart meters so they can lower costs and reduce consumption.  This is a market poised for explosive growth and this team is ready to take advantage of it. 

Essential Duties/Principal Responsibilities:

  • Data curation
  • Develop statistical modeling techniques for pattern recognition problems.
  • Develop code in R, Java, Python, or other languages for statistical analysis, optimization, and simulation.
  • Build models that maximize performance and accuracy.
  • Strategic planning and project management.

Minimum Qualifications: Education, Experience, Skills, Abilities, License/Certification:

  • BS Degree (Master’s preferred) Statistics, Machine Learning, Operations Research, Applied Math; or equivalent.
  • 0 – 3 years of data science experience.
  • Experience with statistical and mathematical software
  • Proven ability to develop system prototypes.
  • SQL skills
  • Excellent oral and written communication skills.  
  • Strong documentation skills.
  • Understanding of machine learning techniques and the ability to invent.
  • Big data experience- Hadoop, Spark, Map-reduce, Hive, etc.
  • Experience with Agile methodology or similar lean startup approach to building software.
  • Experience with time series or signal processing analytics.

Physical Demands:

(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.)

  • Regularly required to sit or stand, reach, bend and move about the facility

Work Environment:

(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

Xylem is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

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