The IRS SB/SE Division is looking to fill a Statistician (Data Scientist) position to support its operations. The role involves performing a full range of professional statistical work, including sampling, data collection, computation, analysis, and application of statistical techniques.
Requirements
- 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc.
- courses in mathematics and statistics totaling at least 24 semester hours. This course work must have included a minimum of 12 semester hours of mathematics and 6 semester hours were in statistics.
- Experience using data mining process models
- Experience preparing and analyzing structured and unstructured datasets
- Experience applying a range of analytic approaches
- Experience coding in various programming languages
- Experience creating and querying different datastores and architectures
Responsibilities
- sampling
- collecting, computing, and analyzing statistical data
- applying statistical techniques
- Experience using data mining process models
- Experience preparing and analyzing structured and unstructured datasets
- Experience applying a range of analytic approaches
- Experience coding in various programming languages
Other
- Federal experience is not required.
- The experience may have been gained in the public sector, private sector or Volunteer Service.
- One year of experience refers to full-time work; part-time work is considered on a prorated basis.
- To ensure full credit for your work experience, please indicate dates of employment by month/year, and indicate number of hours worked per week, on your resume.
- Two (2) full academic years of progressively higher level graduate education in Mathematics, statistics or related field of study from an accredited college or university. OR master's or equivalent degree in Mathematics, statistics or related field of study from an accredited college or university.
