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Mathematical Statistician (Data Scientist) or Statistician (Data Scientist)
Internal Revenue Service | |
$59,966.00 - $167,336.00 / yr | |
United States, Kansas, Overland Park | |
Sep 21, 2024 | |
Duties
WHAT IS THE SMALL BUSINESS/SELF-EMPLOYEDDIVISION?
This position has career progression. If you are selected at a grade level lower than the full working level, you may be non-competitively promoted as your career progresses. For example, you may be hired as a GS-05, but if the position has career progression to GS-11, then you may move from a GS-05 to a GS-11 in as little as three years. Requirements
Conditions of Employment
Qualifications
Federal experience is not required. The experience may have been gained in the public sector, private sector or One year of experience refers to full-time work; part-timework 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.
You must meet the following requirements by the closing date of this announcement: BASIC REQUIREMENTS: GS-1530 Statistician (Data Scientist): 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, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing. 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 such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance. 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 course work 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. 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 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. In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below: SPECIALIZED EXPERIENCE FOR 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 (such as CRISP-DM, SEMMA, etc.,) to design and execute data science project. Experience preparing and analyzing structured and unstructured datasets to explore and evaluate 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 datastores 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. OR You may substitute education for specialized experience specialized experience as follows: Two (2) full academic years of progressively higher-level graduate education in 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. SPECIALIZED EXPERIENCE FOR GS-11: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-9 grade level in the Federal service. Specialized experience for this position includes at least five of the following: Experience using data mining process models (such as CRISP-DM, SEMMA, etc.,) to design and execute data science project. Experience preparing and analyzing structured and unstructured datasets to explore and evaluate 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 datastores 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. OR You may substitute education for specialized experience specialized experience as follows: Three (3) full academic years of progressively higher level graduate education in Mathematics, Statistics or related fields. OR Ph. D. or equivalent doctoral degree Mathematics, Statistics or related field of study from an accredited college or university. *Qualification requirements continued in the "Education" section. For more information on qualifications please refer to . Education
For positions with an education requirement, or if you are qualifying for this position by substituting education or training for experience, submit a copy of your transcripts or equivalent. An official transcript will be required if you are selected. Additional information
Though many locations may be listed, you will be limited to a maximum of 6 location choices. Please consider each location carefully when applying. If you are selected for a position at one of your location selections, that location will become your official post of duty. For more information regarding Union Representation click
Required Documents
The following documents are required and must be provided with your application. All application materials, including transcripts, must be in English.
Please note that if you do not provide all required information, as specified in this announcement, your application will be determined incomplete, and you will not be considered for this position (or may not receive the special consideration for which you may be eligible). How to Apply
The following instructions outline our application process. You must complete this application process and submit any required documents by 11:59 p.m. Eastern Time (ET) on 09/24/2024 and/or cut-off dates in this announcement. We are available to assist you during business hours (normally 8:00 a.m. - 4:00 p.m. ET, Monday - Friday). If applying online poses a hardship, please contact us by noon ET on 09/24/2024.
To update your application, including supporting documentation, at any time during the announcement open period, return to your USAJOBS account (). There you will find a record of your application, the application status, and an option to Update Application. This option will no longer be available once the announcement has closed. To verify the status of your application both during and after the announcement open period, log into your USAJOBS account: . All of your applications will appear on the Welcome page. The application record in your USAJOBS account provides an Additional Application Information page that provides information regarding the documentation you submitted and any correspondence we have sent related to this application. The Application Status will appear along with the date your application was last updated. For information on what each Application Status means, visit: . Agency contact information
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