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Mathematical Statistician; Data Scientist or Statistician; Data Scientist Interdisciplinary

Job in San Diego, San Diego County, California, 92189, USA
Listing for: U.S. Secretary of the Treasury
Full Time, Part Time position
Listed on 2026-01-24
Job specializations:
  • Business
    Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 57118 - 91873 USD Yearly USD 57118.00 91873.00 YEAR
Job Description & How to Apply Below
Position: Mathematical Statistician (Data Scientist) or Statistician (Data Scientist) Interdisciplinary
Mathematical Statistician (Data Scientist) or Statistician (Data Scientist) Interdisciplinary

Pay $57118.00 - $91873.00 / year

Employment type

Full-Time

Job Description
  • Req#:  Click on "Learn more about this agency" button below to view Eligibilities being considered and other IMPORTANT information.
  • WHERE CAN I FIND OUT MORE ABOUT OTHER IRS CAREERS? Visit us on the web s.irs.gov
Duties

WHAT IS THE SMALL BUSINESS SELF EMPLOYED (SB/SE)
DIVISION?
A description of the business units can be found at: https://(Use the "Apply for this Job" box below).-divisions

Vacancies will be filled in the following specialty areas:
SB/SE Operations Support, Operations Support Business Development Office.

The following are the duties of this position at the full working level. If this vacancy includes more than one grade and you are selected at a lower grade level, you will have the opportunity to learn to perform these duties and receive training to help you grow in this position.

Requirements Qualifications

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.

BASIC REQUIREMENTS:

GS-1530 Statistician (Data Scientist) Basic Requirements:
You must have a degree that included 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.

Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods.

OR

Combination of education and experience -- courses as shown above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques.

GS-1529 Mathematical Statistician (Data Scientist) Basic Requirements:
You must have a degree that included 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.

OR

A combination of education and experience that includes at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as described above; and Experience that showed evidence of statistical work.

In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:

SPECIALIZED EXPERIENCE GS-09: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-7 grade level in the Federal service. Specialized experience for this position includes at least three of the following:
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 data stores and architectures, Experience using tools for data visualization.

OR

You may substitute education for specialized experience as follows:
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.

For more information on qualifications please refer to OPM's Qualifications Standards.

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