Mathematical Statistician (Data Scientist) Recent Graduate Pathways

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, BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: GS-1529 Mathematical Statistician (Data Scientist) Basic Requirements (ALL GRADES): 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-07 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 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. SPECIALIZED EXPERIENCE FOR GS-11: You must have one 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 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 as follows: a Ph.D. or equivalent doctoral degree in mathematics, Statistics or related field of study from an accredited college or university. OR 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. AND MEET TIME IN GRADE (TIG) REQUIREMENT: You must meet applicable TIG requirements to be considered eligible. To meet TIG for positions above the GS-05 grade level, you must have served at least one year (52 weeks) at the next lower grade (or equivalent) in the normal line of progression for the position you are applying to. Advancement to positions up to GS-05 is permitted if the position to be filled is no more than two grades above the lowest grade held within the preceding 52 weeks. AND TIME AFTER COMPETITIVE APPOINTMENT: By the closing date (or if this is an open continuous announcement, by the cut-off date) specified in this job announcement, current civilian employees must have completed at least 90 days of federal civilian service since their latest non-temporary appointment from a competitive referral certificate, known as time after competitive appointment. For this requirement, a competitive appointment is one where you applied to and were appointed from an announcement open to “All US Citizens”. For more information on qualifications please refer to OPM’s Qualifications Standards.
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