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Statistician I

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Zachary Piper Solutions, LLC

2021-12-03 11:30:03

salary: 38.00 US Dollar . USD Hourly

Job location Washington, District of Columbia, United States

Job type: fulltime

Job industry: Consulting & Corporate Strategy

Job description

Title: Statistician I

Location: Washington, D.C. (Remote)

Contract-to-Hire

Pay Rate: $35-38/hour

Piper Companies is searching for a qualified Statistician to provide technical support to conduct statistical analysis on issues related to motor vehicle crashes and will work on projects involving sampling, data collection, and modeling of data retrieved from various sources. The Statistician will assist in compiling and computing data using statistical analysis techniques and Statistical Analysis System (SAS) programming and will prepare technical reports, research notes, presentations, and charts.

Responsibilities of Statistician I

  • Offering statistical support for sample design, data collection, weighting procedures, handling missing data including multiple imputations, and business intelligence.
  • Providing technical support to design and develop projects, as well as aid on data quality control processes, data imputation, and other statistical tasks related to motor vehicle crashes.
  • Writing reports and research papers based on sampling and statistical analysis of motor vehicle crash databases.
  • Working both independently and in a team environment with other statisticians to meet deadlines.
  • Knowledge/experience in SAS Business intelligence software/visual analytics.


Qualifications of Statistician I
  • BA/BS in Statistics or a related field is required at a minimum. If the degree is not Statistics specifically, qualified candidates must have had at a minimum 12 semester hours in Statistics OR a combination of education and experience with a minimum of 6 semester hours in Statistics
  • Strong computer programming skills, specifically hands-on experience using Statistical Analysis System (SAS)
  • Knowledge of applying statistical techniques including descriptive and exploratory analysis, time series analysis, nonparametric analysis, univariate and multivariate statistical methods, sample design, data collection and quality control, analysis of large databases, multiple imputation methods and interpretation of quantified information
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