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Mathematical Statistician; Data Scientist

Job in Anchorage, Anchorage Borough, Alaska, 99507, USA
Listing for: IRS-babd5cc6
Full Time position
Listed on 2026-07-17
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Mathematics
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Mathematical Statistician (Data Scientist) - Direct Hire

WHAT IS DATA AND ANALYTICS?

A description of the business units can be found at: https://(Use the "Apply for this Job" box below).-divisions

Position(s) are to be filled in the following area(s):

  • DAO
    - Data and Analytics Office (DAO)-RESEARCH, APPLIED ANALYTICS & STATISTICS (RAAS)

Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.

REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Federal experience is not required. Experience may have been gained in the public sector, private sector or through 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/day/year, and indicate number of hours worked per week, on your resume.

IOR BASIC REQUIREMENTS GS-1529 Mathematical Statistician (Data Scientist)

You must have a degree that included courses in mathematics and statistics totaling at least 24 semester hours. This coursework must have included a minimum of 12 semester hours of mathematics, and 6 semester hours were in statistics. Courses acceptable toward meeting the mathematics course requirement must have included at least four of the following: differential calculus, integral calculus, advanced calculus, theory of equations, vector analysis, advanced algebra, linear algebra, mathematical logic, differential equations, or any other advanced course in mathematics for which one of these was a prerequisite.

Courses in mathematical statistics or probability theory with a prerequisite of elementary calculus or more advanced courses will be accepted toward meeting the mathematics requirements, with the provision that the same course cannot be counted toward both the mathematics and the statistics requirement.

Combination of

Education and Experience

Combination of education and experience – 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 such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying known statistical techniques to data such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.

GS-1529-11

Specialized Experience

To be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal service. Examples of specialized experience for this position may include:

  • Experience using data mining process models (such as CRISP‑DM, SEMMA, etc.) to design and execute data science projects.
  • Experience preparing and analyzing structured and unstructured datasets to explorations and evaluating data science centric models.
  • Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration.
  • Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects.
  • Experience creating and querying different data stores and architectures (such as Sybase, Oracle, and open‑source databases) to work with various types of data as part of the data science project.
  • Experience using tools for data visualization (graphs, tables, charts, etc.) and end‑user business intelligence.
  • Education

    You may substitute education for specialized experience as follows:
    Three (3) full academic years of progressively higher‑level graduate education in Mathematics, statistics, or related fields.

    Ph.

    D. or Equivalent Doctoral Degree

    Ph.

    D. or equivalent doctoral degree in Mathematics, statistics, or related field of study from an accredited college or university.

    Combination of

    Education and Experience

    A…

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