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Data Scientist

Posted to IASSIST on: 
2015-04-23
Employer: 
Federal Reserve Bank of Kansas City
Employer URL: 
http://www.kc.frb.org/
Description: 

Responsible for processing, cleaning, and analyzing large volumes of data to assist with the completion of research initiatives. Applies knowledge of statistics, machine learning, programming, and/or data modeling to discover information, recognize patterns and trends, and address research questions.

Key Activities:

  • Participates in the processing, cleaning, and analysis of data from a variety of sources to assist research or analytic staff address quantitative research questions
  • Executes assignments in support of cleaning and modeling data to meet business needs and requirements.
  • Provides programming support for the creation or coding of algorithms and routines that train, test, or deploy data mining or machine learning models.
  • Contributes to data science activities including data mining, machine learning and/or statistical analysis using appropriate techniques or technologies.
  • Collaborates, communicates, and educates other staff to improve general understanding of analytical and prediction models.
Qualifications: 

 

  • Bachelor’s degree in applied statistics, mathematics, engineering, economics, computer science, or equivalent combination of education and related experience required
  • Two to six years of experience in analytics, economic research, predictive modeling, and/or statistics
  • Moderate  to advanced skill in data manipulation and analysis using SQL, NoSQL, Java, MapReduce, HIVE, Python, R, SAS
  • Good analytical and problem solving skills
  • Effective verbal and written communication and presentation skills
  • Customer service orientation
  •  Effective interpersonal skills, including the ability to work effectively in a team environment
  • Willingness to learn new skills
  •  Economics background a plus
Application Procedure: 

Apply online at the joblink below.

Salary: 
Not listed.
More Info URL: 
https://frb.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=240943
Archive Date: 
2015-04-23
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