- Position Title
- Mathematical Statistician or Statistician (Data Scientist) - Direct Hire -12 Month Register- AMENDED
- Agency
- Internal Revenue Service
- Announcement Number
- 24-12309420A-LBD-MULT-11T14 Opens in new window
- Open Period
- Tuesday, February 27, 2024 to Wednesday, February 26, 2025
For preview purposes only. To apply, please return to the USAJOBS announcement and click the Apply button.
Eligibilities
1.
Do you claim Veterans’ Preference?
2.
IRS CTAP Candidate - Are you a current displaced or surplus IRS employee and:
If you indicate "Yes" for this question, you MUST submit supporting documentation to validate your claim of CTAP eligibility such as a Reduction in Force (RIF) separation notice or a Certificate of Expected Separation (CES) AND a copy of your most recent annual performance appraisal AND a copy of your most recent SF-50 (Notification of Personnel Action).
For more information, review Career Transition Assistance Plan (CTAP)/Interagency Career Transition Assistance Plan (ICTAP).
- you are located either within or outside the local commuting area of this vacancy, AND
- your grade is equivalent to or below the grade level of this vacancy, AND
- your position has the same or higher promotion potential of this vacancy, AND
- your last performance rating of record is at least fully successful or the equivalent?
If you indicate "Yes" for this question, you MUST submit supporting documentation to validate your claim of CTAP eligibility such as a Reduction in Force (RIF) separation notice or a Certificate of Expected Separation (CES) AND a copy of your most recent annual performance appraisal AND a copy of your most recent SF-50 (Notification of Personnel Action).
For more information, review Career Transition Assistance Plan (CTAP)/Interagency Career Transition Assistance Plan (ICTAP).
3.
Treasury CTAP Candidate - Are you a current displaced or surplus Department of Treasury (non-IRS) employee and:
If you indicate "Yes" for this question, you MUST submit supporting documentation to validate your claim of CTAP eligibility such as a Reduction in Force (RIF) separation notice or a Certificate of Expected Separation (CES) AND a copy of your most recent annual performance appraisal AND a copy of your latest SF-50 (Notification of Personnel Action).
For more information, review Career Transition Assistance Plan (CTAP)/Interagency Career Transition Assistance Plan (ICTAP).
- you are located within the same local commuting area of this vacancy, AND
- your grade is equivalent to or below the grade level of this vacancy, AND
- your position has the same or higher promotion potential of this vacancy, AND
- your last performance rating of record is at least fully successful or the equivalent?
If you indicate "Yes" for this question, you MUST submit supporting documentation to validate your claim of CTAP eligibility such as a Reduction in Force (RIF) separation notice or a Certificate of Expected Separation (CES) AND a copy of your most recent annual performance appraisal AND a copy of your latest SF-50 (Notification of Personnel Action).
For more information, review Career Transition Assistance Plan (CTAP)/Interagency Career Transition Assistance Plan (ICTAP).
4.
ICTAP Candidate - Are you a current or former federal employee displaced from a position in a federal agency other than the agency hiring for this position and:
For more information, review Career Transition Assistance Plan (CTAP)/Interagency Career Transition Assistance Plan (ICTAP).
- you are located within the same local commuting area of this vacancy, AND
- your grade is equivalent to or below the grade level of this vacancy, AND
- your position has the same or higher promotion potential of this vacancy, AND
- your last performance rating of record is at least fully successful or the equivalent?
For more information, review Career Transition Assistance Plan (CTAP)/Interagency Career Transition Assistance Plan (ICTAP).
5.
U.S. Citizen Candidate - Are you a U.S. citizen (either by birth or naturalization) or national of the United States?
6.
Employees of the Internal Revenue Service (IRS) must demonstrate the highest level of ethics and integrity. Former employees will be subject to a screening of their prior performance and conduct with the Service, and all other applicants may be subject to reference checks of prior employment. Your responses to the following questions will be verified; Applicants providing false information may be made ineligible and will be subject to debarment for future employment opportunities with the IRS.
Please select the response that best describes your current or prior employment with the IRS. If you never worked for the Internal Revenue Service, you must select the last response "Not applicable."
Please select the response that best describes your current or prior employment with the IRS. If you never worked for the Internal Revenue Service, you must select the last response "Not applicable."
7.
Employees of the Internal Revenue Service (IRS) must demonstrate the highest level of ethics and integrity, and must be in compliance with all Federal Tax requirements. Applicants being considered for employment with the IRS will be subject to a tax check. You can "Get Your Tax Record" at http://www.irs.gov/ (https://www.irs.gov/individuals/get-transcript) and check the status of your account, balance owed, payment history, make a payment, or review answers to tax questions. Applicants not in compliance will be determined unsuitable for employment with IRS. Your responses to the following questions will be verified; Applicants providing false information may be made ineligible and will be subject to debarment for future employment opportunities with the IRS.
Please select the response that best describes your compliance with all Federal Tax requirements. You will be subject to a tax check that will verify your response to this question.
Please select the response that best describes your compliance with all Federal Tax requirements. You will be subject to a tax check that will verify your response to this question.
8.
The following question is regarding your Selective Service status. If you are a male born after December 31, 1959, and are at least 18 years of age, civil service employment law (5 U.S.C. 3328) requires that you must be registered with the Selective Service System, unless you meet certain exemptions under Selective Service law. If you are required to register but knowingly and willfully fail to do so, you are ineligible for appointment by executive agencies of the Federal Government (5 CFR 300.704). Visit http://www.sss.gov/ for additional information.
9.
If you are a current Federal employee, by what agency and organization are you employed?
10.
If you selected "Other", please enter the agency and organization.
11.
If you are a current Federal employee, what is your duty station? [City, State]
12.
If you are a Federal employee, under what type of appointment are you currently serving?
13.
If you are, or ever were a Federal civilian employee, please provide your current or last pay plan, series, and grade level or pay band. For example: GS-0303-05, IR-0343-02, WG-5400-04.
(limit 250 characters)
14.
If you are, or ever were a Federal civilian employee, indicate the pay plan and grade level or pay band of the highest graded position you have ever held. For example: GS-05, IR-02, WG-04.
15.
Are you a current or former Federal employee with reinstatement eligibility?
16.
Are you a retiree receiving a Federal annuity, either military or civilian?
Note: If you are an annuitant, your salary or annuity may be reduced upon employment.
Note: If you are an annuitant, your salary or annuity may be reduced upon employment.
17.
Have you accepted a buyout from a Federal agency within the past 5 years?
18.
Regarding the effectiveness of our recruitment strategies; how did you first hear about this job?
19.
If you answered "Posting on a job board or search agent other than USAJOBS (Monster, CareerBuilder, Indeed, LinkUp, etc." in the previous question, please indicate in the box below the name of the job board or search agent other than USAJOBS you saw the advertisement.
If you answered "Social Media posting (Twitter, Facebook, LinkedIn, on-line job fairs, etc.)" in the previous question, please indicate in the box below the name of the Social Media platform you saw the advertisement.
If you answered "Attended a recruitment event (Job/Career Fair, Open House, Meet & Greet, Meetup, etc.)" in the previous question, please indicate in the box below the name and state of the recruiting event.
If you answered "School/University announcement/career counselor" in the previous question, please indicate in the box below the name of the school/university of the announcement where you saw the advertisement.
If you answered "Third party referral, such as diversity or community organization, or employment office (Federal, state or local)" in the previous question, please indicate in the box below the name of the third party referral and the state you saw the advertisement.
If you answered "Newspaper (print/online)" in the previous question, please indicate in the box below the name of the newspaper and the state you saw the advertisement.
If you answered "Radio" in the previous question, please indicate in the box below the name of the radio station and state you heard the advertisement.
If you answered "Transit/Bus Advertisement" in the previous question, please indicate in the box below the city and state you saw the advertisement.
If you answered "Banner Advertisement - Major News Websites" in the previous question, please indicate in the box below the website.
If you answered "Banner Advertisement - Movie Theater Websites" in the previous question, please indicate in the box below the website.
If you answered "Classified Advertisement Website (Craigslist, Angie's List, etc.)" in the previous question, please indicate in the box below the name of the website, city and state.
If you answered "Other" in the previous question, please specify in the box below.
If you answered "Social Media posting (Twitter, Facebook, LinkedIn, on-line job fairs, etc.)" in the previous question, please indicate in the box below the name of the Social Media platform you saw the advertisement.
If you answered "Attended a recruitment event (Job/Career Fair, Open House, Meet & Greet, Meetup, etc.)" in the previous question, please indicate in the box below the name and state of the recruiting event.
If you answered "School/University announcement/career counselor" in the previous question, please indicate in the box below the name of the school/university of the announcement where you saw the advertisement.
If you answered "Third party referral, such as diversity or community organization, or employment office (Federal, state or local)" in the previous question, please indicate in the box below the name of the third party referral and the state you saw the advertisement.
If you answered "Newspaper (print/online)" in the previous question, please indicate in the box below the name of the newspaper and the state you saw the advertisement.
If you answered "Radio" in the previous question, please indicate in the box below the name of the radio station and state you heard the advertisement.
If you answered "Transit/Bus Advertisement" in the previous question, please indicate in the box below the city and state you saw the advertisement.
If you answered "Banner Advertisement - Major News Websites" in the previous question, please indicate in the box below the website.
If you answered "Banner Advertisement - Movie Theater Websites" in the previous question, please indicate in the box below the website.
If you answered "Classified Advertisement Website (Craigslist, Angie's List, etc.)" in the previous question, please indicate in the box below the name of the website, city and state.
If you answered "Other" in the previous question, please specify in the box below.
20.
Current or Former Political Appointees: The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently employed, or have been employed within the last 5 years, in any one of the categories below, you must disclose this information. Failure to disclose this information could result in disciplinary action including removal from Federal Service.
Are you a current or former political appointee as described under 5 U.S.C. sections 5312 through 5316 (relating to the Executive Schedule)?
-OR-
Are you a current or former political Schedule A, Schedule C, or an individual who serves or served in a political capacity under agency-specific authority in the Executive Branch?
-OR-
Are you a current or former noncareer SES appointee, or an individual who serves or served in a political capacity under Limited Term SES or Limited Emergency SES appointment in the Executive Branch?
Are you a current or former political appointee as described under 5 U.S.C. sections 5312 through 5316 (relating to the Executive Schedule)?
-OR-
Are you a current or former political Schedule A, Schedule C, or an individual who serves or served in a political capacity under agency-specific authority in the Executive Branch?
-OR-
Are you a current or former noncareer SES appointee, or an individual who serves or served in a political capacity under Limited Term SES or Limited Emergency SES appointment in the Executive Branch?
21.
If yes, identify the position held, the employing agency/organization, and the dates of the appointment. Please provide SF-50s showing your political appointment and, if applicable, resignation/termination SF-50.
22.
For positions with an education requirement, or if you are qualifying for this position by substituting education or training for experience, are you aware that you must submit a copy of your transcripts or equivalent as specified in this announcement? An official transcript will be required if you are selected.
Preferences
1.
Select the location(s) you want to be considered for. You must choose at least one location.
- No matches found
2.
Select the lowest grade you are willing to accept for this position.
3.
Select the series you want to be considered for. You must choose at least one series.
Assessment 1
Thank you for your interest in applying for this position. Your responses to the following questions supplement the information provided in your resume.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
IOR 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.
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 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
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.
AND
GS-1529/1530-11 SPECIALIZED EXPERIENCE: To be eligible for this position at this grade level, you must meet the following requirements. In addition to the basic requirements, 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 project.
- 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 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.
EDUCATION: 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.
OR
Combination of education and experience: A combination of qualifying graduate education and experience equivalent to the amount required.
GS-1529/1530-12 SPECIALIZED EXPERIENCE: To be eligible for this position at this grade level, you must meet the following requirements. In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Examples of specialized experience for this position may include:
- Experience applying knowledge of statistical theories, principles, concepts and practices that relate to experimental design, data analysis, sampling, forecasting, quality control, and operations research to understand, model and improve program operations.
- 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 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 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.
GS-1529/1530-13 SPECIALIZED EXPERIENCE: To be eligible for this position at this grade level, you must meet the following requirements. In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service.
Examples of specialized experience for this position may include:
- 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 explorations and evaluating 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.
GS-1529/1530-14 SPECIALIZED EXPERIENCE: To be eligible for this position at this grade level, you must meet the following requirements. In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Examples of specialized experience for this position may include:
- Experience in statistical/mathematical project assignments that required a wide range of knowledge of statistical program requirements and techniques.
- Experience completing assignments involving an analysis of several alternative statistical approaches and through advising management concerning major aspects of advanced statistical and mathematical theories and techniques that relate to data analysis, probability sampling, estimation procedures, variance estimation, and applying professional knowledge and experience resolving non-routine and/or unprecedented issues.
- Experience using the methods and principles related to mathematical statistics in carrying out project assignments.
- Experience in establishing effective working relationships with people from a variety of technical backgrounds, assessing their needs and expectations, preparing reports, and making recommendations for meeting customer needs.
- Experience with statistical theories and techniques that relate to survey sampling, weighting, outlier detection, imputation, adjusting for non-response, forecasting, projections, and complex variance estimation methods.
- Experience in applying complex statistical techniques and analysis in the preparation of relevant reports and studies.
1.
IOR 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.
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 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
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.
Select the one statement that best describes the education that you possess that demonstrates your ability to perform the work of the Interdisciplinary Data Scientist, GS-1529 Mathematical Statistician and/or GS-1530 Statistician position.
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.
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 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
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.
Select the one statement that best describes the education that you possess that demonstrates your ability to perform the work of the Interdisciplinary Data Scientist, GS-1529 Mathematical Statistician and/or GS-1530 Statistician position.
2.
GS-1529/1530-11 SPECIALIZED EXPERIENCE:
To be eligible for this position at this grade level, you must meet the following requirements. In addition to the basic requirements, 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:
EDUCATION: 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.
OR
Combination of education and experience: A combination of qualifying graduate education and experience equivalent to the amount required.
Which of the following is true about your education and/or experience?
To be eligible for this position at this grade level, you must meet the following requirements. In addition to the basic requirements, 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 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 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.
EDUCATION: 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.
OR
Combination of education and experience: A combination of qualifying graduate education and experience equivalent to the amount required.
Which of the following is true about your education and/or experience?
3.
GS-1529/1530-12 SPECIALIZED EXPERIENCE:
To be eligible for this position at this grade level, you must meet the following requirements. In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Examples of specialized experience for this position may include:
Which of the following is true about your specialized experience?
To be eligible for this position at this grade level, you must meet the following requirements. In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Examples of specialized experience for this position may include:
- Experience applying knowledge of statistical theories, principles, concepts and practices that relate to experimental design, data analysis, sampling, forecasting, quality control, and operations research to understand, model and improve program operations.
- 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 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 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.
Which of the following is true about your specialized experience?
4.
GS-1529/1530-13 SPECIALIZED EXPERIENCE:
To be eligible for this position at this grade level, you must meet the following requirements. In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Examples of specialized experience for this position may include:
Which of the following is true about your specialized experience?
To be eligible for this position at this grade level, you must meet the following requirements. In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Examples of specialized experience for this position may include:
- 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 explorations and evaluating 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.
Which of the following is true about your specialized experience?
5.
GS-1529/1530-14 SPECIALIZED EXPERIENCE:
To be eligible for this position at this grade level, you must meet the following requirements. In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Examples of specialized experience for this position may include:
Which of the following is true about your specialized experience?
To be eligible for this position at this grade level, you must meet the following requirements. In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Examples of specialized experience for this position may include:
- Experience in statistical/mathematical project assignments that required a wide range of knowledge of statistical program requirements and techniques.
- Experience completing assignments involving an analysis of several alternative statistical approaches and through advising management concerning major aspects of advanced statistical and mathematical theories and techniques that relate to data analysis, probability sampling, estimation procedures, variance estimation, and applying professional knowledge and experience resolving non-routine and/or unprecedented issues.
- Experience using the methods and principles related to mathematical statistics in carrying out project assignments.
- Experience in establishing effective working relationships with people from a variety of technical backgrounds, assessing their needs and expectations, preparing reports, and making recommendations for meeting customer needs.
- Experience with statistical theories and techniques that relate to survey sampling, weighting, outlier detection, imputation, adjusting for non-response, forecasting, projections, and complex variance estimation methods.
- Experience in applying complex statistical techniques and analysis in the preparation of relevant reports and studies.
Which of the following is true about your specialized experience?
INSTRUCTIONS: Please familiarize yourself with the brief descriptions outlined below and then use this information in responding to the questions relative to your experience.
The Tax Exempt & Government Entities (TE/GE) Division serves charities, small local community organizations, major universities, large pension funds, small business retirement plans, local and state governments, participants in complex tax-exempt bond transactions and Indian tribal governments and tribal associations. TE/GE Revenue Agents perform related work in the following specialties:
The Tax Exempt & Government Entities (TE/GE) Division serves charities, small local community organizations, major universities, large pension funds, small business retirement plans, local and state governments, participants in complex tax-exempt bond transactions and Indian tribal governments and tribal associations. TE/GE Revenue Agents perform related work in the following specialties:
- Employee Plans (EP) - EP is responsible for retirement plans and related trusts; IRAs; plan participants and beneficiaries; and retirement plan sponsors. EP works on determination letter requests, voluntary correction submissions, return examinations, tax administration and enforcement activities, and Knowledge Management.
- Exempt Organizations (EO) - EO areas of responsibility include organizations exempt from income tax under Internal Revenue Code Section (IRC) 501 including charities, private foundations and other types of exempt organizations, such as business leagues, labor unions, and veterans' organizations; and Political organizations described in IRC 527. EO works on Determination letter requests; Voluntary correction programs; Examining returns, including employment returns, and compliance checks; Tax administration and enforcement activities, and Knowledge Management.
- Indian Tribal Governments Program (ITG) - ITG Maintains a functional and interactive government-to-government relationship between the IRS and Indian tribal governments as required by Presidential Executive Orders and the Treasury Department Tribal Consultation Policy and partners with both internal and external stakeholders for issues pertaining to tribes. ITG provides a single point of contact for services and federal tax information to assist tribes in understanding and meeting their federal tax responsibilities.
- Federal, State and Local Employment Tax Program (FSLET) - FSL-ET assists government entities understand and comply with their tax responsibilities FSL-ET addresses employment tax matters such as worker classification, taxable fringe benefits, legal settlements, backup withholding, international and non-resident payments, civil penalties, Section 218 law and CP 2100 project cases
- Tax Exempt Bonds (TEB) - TEB administers federal tax laws applicable to tax-advantaged bonds. Types of Tax-advantage bonds include Tax Exempt Bonds; Tax Credit Bonds and Direct-pay Bonds.
- Business Development Office - The BDO Organization aspires to be a valued partner in the determination of SB/SE business resource investment and operational change decisions through effective application of analytic insights. Our partners engage BDO employees for their business knowledge, analytic problem-solving skills, integrative thinking, and development of creative solutions to complex problems. Facilitate informed and integrated business performance improvement for SB/SE stakeholders and customers.
- Office of Promoter Investigations (OPI) - The Office of Promoter Investigations (OPI) leads and directs the design, development and delivery of major activities that support IRS efforts to detect and deter abusive tax promotions and abusive return preparers, including those who enable abusive tax promotions. OPI consists of the Lead Development Center, the Abusive Transaction Support Unit, a data analytics team, and two policy and technical support teams. National Promoter Counsel also supports OPI.
- Global High Wealth focuses on the wealthiest taxpayers; rather than looking strictly at a taxpayer's individual income tax return, it considers all of the taxpayer's financial interests, including partnerships, trusts, subchapter S corporations, private foundations, gifts, and the like.
- Withholding Exchange & International Individual Compliance has responsibility for the following taxpayers: U.S. citizens living and, or, working abroad or in a U.S. Territory, U.S. citizens or resident aliens who hold income producing assets in a foreign country or claim the foreign earned income exclusion or foreign tax credit, and permanent residents and non-resident aliens who have a U.S. filing requirement.
- In addition, LB&I interacts with treaty partners in exchanging information and Mutual Agreement Procedure cases under U.S. tax treaties and working special international cooperation projects. LB&I is responsible for providing tax administration, services, and enforcement associated with business taxpayers' international and transfer pricing issues.
6.
Please select the answer choice(s) where you have experience applying tax law related to the specific specialty areas identified below.
7.
Using the response(s) you selected above, please use the area below to elaborate on up to three specific specialty areas where you have the most experience. Your narrative should include detailed examples of the work performed, percentages of time or months/years for which you performed the work, and where the experience is referenced in your resume.
(limit 3,800 characters)
(limit 3,800 characters)
8.
To qualify for this position and receive full credit for your relevant experience you must list the month/year and number of hours worked for experience listed on your resume. Your resume must support your responses to the questions. Do you understand that failure to provide sufficient evidence in your resume may result in a "not qualified" determination?
9.
I certify that, to the best of my knowledge and belief, all of the information included in this questionnaire is true, correct, and provided in good faith. I understand if I make an intentional false statement or commit deception or fraud in this application and its supporting materials, or in any document or interview associated with the examination process, I may be fined or imprisoned (18 U.S.C. 1001); my eligibilities may be cancelled, I may be denied an appointment, or I may be removed and debarred from Federal service (5 C.F.R. part 731). I understand any information I give may be investigated. I understand that responding "No" to this item will result in my not being considered for this position.
Failure to agree or respond to the statement below will disqualify you from further consideration for the position. Select the most appropriate response below.
Failure to agree or respond to the statement below will disqualify you from further consideration for the position. Select the most appropriate response below.