Mathematics Statistician (Data Scientist) or Statistician (Data Scientist) - 12 Month Roster

Duties

WHAT IS THE LARGE BUSINESS AND INTERNATIONAL (LB&I) DIVISION?

WHAT IS THE RESEARCH, APPLIED ANALYTICS, & STATISTICS (RAAS) DIVISION?

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: Large Business and International (LB&I), and Research, Applied Analytics and Statistics (RAAS)

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.

• Serves as a technical expert with responsibility for the initiation, planning, implementation, controlling, modifying and executing of all or part of an entire project, including such tasks as formulation of workload estimates for program segments, specification of the methodology to be used, preparation of appropriate specifications and procedures, and review of computer systems specifications and materials and instructions needed for assuring the adequacy of the project's design and objectives. Explores novel methods of retrieving data, and develops innovative recommendations to management and senior leadership as a means for making data driven decisions such as modification of processes and policies. Reviews, evaluates, validates, and documents the results of the findings.
• Assists the supervisor in determining the scope, goals and schedules for future programs in the Office. Results have a direct impact on assigned area's policy. Acts as a troubleshooter in resolving bottlenecks at any step in a project by identifying and proposing solutions; this may include coordination with other project team members or stakeholders to mitigate issues.
• Collaborates with business and technology partners to understand business needs, identify opportunities, and develop and implement analytical solutions.
• Identifies and assesses relevant data sources' validity and reliability to meet project needs.
• Collates, cleans, transforms, analyzes, and integrates structured and unstructured data from various sources in preparation for analysis.

Help

Requirements

Conditions of Employment

STANDARD POSITION DESCRIPTIONS (SPD):

PD98929, PD98930, and PD98931

PD98926, PD98927, and PD98928

Visit the IRS SPD Library to access the position descriptions.

• If you are in a telework eligible position, you may be directed to temporarily telework on a full-time basis due to COVID 19. Employees must be within a 200-mile radius of their official assigned post-of-duty (POD) while in a telework status. Once normal operations resume, employees may be directed back to the office to perform the duties of their position. Telework eligibility does not guarantee telework; employees must meet and sustain IRS telework eligibility requirements and supervisor's approval to participate in the IRS Telework Program. As a reminder - If you are selected for a position, you are responsible for reporting to your designated POD (location) on the negotiated start date or as directed by management.
• File a Confidential Financial Disclosure Report within 30 days of appointment and annually from then on.
• May be required to file a Confidential Financial Disclosure Report within 30 days of selection and annually from then on.
• Obtain and use a Government-issued charge card for business-related travel.

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.

You must meet the following requirements by the closing date of this announcement:

BASIC REQUIREMENT: GS-1530 Statistician (Data Scientist): You must have a bachelor's 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.

GS-1529 Mathematical Statistician (Data Scientist): You must have a bachelor's 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: GS-11 LEVEL: 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

EDUCATION: Three (3) full academic years of progressively higher level graduate education in Mathematics, Statistics or related fields from an accredited college or university.

OR

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

OR

COMBINATION OF EXPERIENCE AND EDUCATION: You may qualify by a combination of experience and education. Options for qualifying based on a combination will be identified in the online questions.

SPECIALIZED EXPERIENCE: GS-12 LEVEL: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Specialized experience for this position includes ALL 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.

Please see Education Section for additional qualification on the GS-13, Time in Grade Requirements and Time After Competitive Appointment Requirements.

Education

Qualifications continued

SPECIALIZED EXPERIENCE: GS-13 LEVEL: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position includes all of the following: Experience applying project management principles on a data science project. Experience planning and executing a variety of data science and/or analytics projects. 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 working with multiple data types and formats as a part of a data science project. 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.

MEET TIME IN GRADE (TIG) REQUIREMENT: For positions above the GS-05, applicants must meet applicable time-in-grade requirements to be considered eligible. Under merit promotion procedures, Federal applicants must have served 52 weeks at the next lower grade to satisfy time-in-grade restrictions contained in 5 CFR 300, Subpart F. Time is credited based on calendar time served in a grade, regardless of the number of days or hours worked. If you currently hold or have previously held a position at the same (or equivalent) or higher grade/level in the Federal government as of this announcement, you will meet the TIME IN GRADE REQUIREMENTS.

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".

Education

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

A copy of your transcripts or equivalent documentation is required for positions with an education requirement, or if you are qualifying based on education or a combination of education and experience. An official transcript will be required if you are selected. If the position has specific education requirements and you currently hold, or have previously held, a position in the same job series with the IRS, there is no need to submit a transcript or equivalent at this time. Applicants are encouraged, but are not required, to submit an SF-50 documenting experience in a specific series.

A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.

FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here for Foreign Education Credentialing instructions.

Additional information

• We may select from this announcement or any other source to fill one or more vacancies. Additional jobs may be filled.
• The salary range indicated in this announcement reflects the minimum locality pay up to maximum locality pay for all duty locations listed. The range will be adjusted for selected duty location. General Schedule locality pay tables may be found under Salaries & Wages.
• This is a bargaining unit position.
• Tour of Duty: Monday-Friday, Day Shift with start and stop times between 6:00 am and 6:00pm.
• Alternative work schedule, staggered work hours or telework may be available.
• Relocation expenses - No.

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.

This is an open continuous announcement which allows applicants to apply up to the closing date of the announcement, 08/28/2023. The announcement will be used to fill an anticipated 50 vacancies. Selections may be made from certificates issued up to 12 months after the 1st cut-off date listed below. Contingent upon funding and space requirements, one or more vacancies may be filled at the locations listed in this announcement as they become available. Applicants need to apply and/or update their applications by 11:59 pm ET at the close of each of the following cutoff dates to be considered 11/25/2022, 2/25/2023, 5/25/2023, and 8/28/2023. This announcement may be amended to include additional cut-off dates within the 12-month period if needed, not later than 10 days prior to the additional cut-off date or the final selection date.

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