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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-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. In order to qualify, you must first meet IRS Recent Graduate Program eligibility: You must have, within the previous 2 years, completed all educational requirements for a qualifying associate, bachelor, masters, professional, doctorate, vocational or technical degree or certificate from a qualifying institution; or intended graduation is no more than 9 months from date of application; -OR- Veterans (as defined in 5 U.S.C. 2108) who, due to a military service obligation, were precluded from applying to a Recent Graduates Program during any portion of the 2-year eligibility period may have their eligibility period extended so that they receive the full 2 years of eligibility. The remaining 2-year eligibility period will begin upon his or her release or discharge from active duty. The veteran's eligibility period may not extend beyond 6 years from the date of completion of all requirements of an academic course of study. Secondly, you must meet any basic requirements of the position and the experience requirements described in the Office of Personnel Management (OPM) Qualification Standards for General Schedule Positions, Mathematical Statistics Series, 1529 BASIC REQUIREMENTS ALL GRADES (IOR): A. EDUCATION: A degree that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics. OR B. COMBINATION OF EDUCATION AND EXPERIENCE: 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 shown in A above, plus appropriate experience or additional education. Evaluation of Education: Courses acceptable toward meeting the mathematics course requirement of paragraphs A or B above 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. Evaluation of Experience: The experience offered in combination with educational courses to meet the requirements in paragraph B above should include 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. Without other indications of statistical experience, work required in the processing of numerical or quantified information by other than statistical methods is not considered appropriate qualifying experience. Examples of such nonqualifying work include statistical clerical work; statistical drafting; calculation of totals, averages, percentages, or other arithmetic summations; preparation of simple tables or charts; or verification of data by simple comparison or proofreading. EDUCATION/GENERAL EXPERIENCE GS-09: In addition to basic requirements, to be eligible for this position at this grade level, you must have at least one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-07 grade level in the Federal service. Specialized experience for this position includes: 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 EDUCATION: You may substitute education for specialized experience as follows: A master's or equivalent degree in mathematics, statistics, or related field of study from an accredited college or university. OR 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 COMBINATION OF EDUCATION AND EXPERIENCE: You may qualify by a combination of experience and education. EDUCATION/GENERAL EXPERIENCE GS-11: In addition to basic requirements, to be eligible for this position at this grade level, you must have at least one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal service. Specialized experience for this position includes: 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 EDUCATION: You may substitute education for specialized experience as follows: a Ph.D. or equivalent doctoral degree in mathematics, statistics, or related field of study from an accredited college or university. OR Three (3) full years of progressively higher-level graduate education leading to a Ph.D. or equivalent doctoral degree in mathematics, statistics, or related field of study from an accredited college or university. OR COMBINATION OF EDUCATION AND EXPERIENCE: You may qualify by a combination of experience and education. For more information on qualifications please refer to OPM's Qualifications Standards.
The IRS Internal Recent Graduates Program affords a developmental opportunity to IRS employees, who have graduated within the previous 2 years from a qualifying educational institution or program. In addition, the IRS implemented the new IRS Recent Graduate Program that includes an additional year of formal development, training, networking, project teams, and may include rotational assignments. Upon successful completion of the program requirements, you will be permanently placed at the grade level within the position's career path, not higher than the full-working level of the position selected, to which you meet qualifications and time-in-grade requirements. If for any reason do not successfully complete the program you will be returned to the previous grade of the same or similar position you previously held within IRS prior to being selected for the Recent Graduates Program. Program requirements include but are not limited to: Successful completion of at least 1 to 2 years of continuous service depending on the position; Completion of at least 40 hours of interactive training; Mentorship; Demonstration of successful job performance; and Meet the qualification position standards. If selected, you will be placed in a developmental position in one the division(s) listed below: RAAS - Research, Applied Analytics and Statistics A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions Vacancies will be filled in the following specialty areas: Research, Applied Analytics and Statistics The following are the duties of this position at the full working level. Collaborates with business and technology partners to understand business needs, identify opportunities, and develop and implement analytical solutions. Assists in identifying and assessing relevant data sources' validity and reliability to meet project needs. Collates, cleans, transforms, analyzes, and integrates structures and unstructured data from various sources in preparation for analysis. Applies scientific, data mining, and statistical theory and methods to test hypotheses using structured and unstructured data. Assists in the development of data product solutions to improve customer experiences, anomaly detection, and business outcomes. Assists in the development of proofs of concept or demonstrations to evaluate feasibility of project solutions and recommends visualization strategies. 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.