- Position Title
- Mathematics Statistician (Data Scientist) or Statistician (Data Scientist) - 12 Month Roster
- Agency
- Internal Revenue Service
- Announcement Number
- 23-11704726O-LBS-MULT-11T13 Opens in new window
- Open Period
- Monday, November 14, 2022 to Monday, August 28, 2023
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.
Current IRS Candidate - Are you a current permanent career or career-conditional, Competitive Service Internal Revenue Service employee?
If you indicate "Yes" for this question, you MUST submit:
If applying for a higher grade, it is recommended to also provide:
If you indicate "Yes" for this question, you MUST submit:
- a copy of your most recent career or career-conditional SF-50 (Notification of Personnel Action) or equivalent personnel action form which shows your current grade and competitive service status (The "position occupied" block on the SF-50 should show a "1" and your "tenure" block should be a "1" or "2")
If applying for a higher grade, it is recommended to also provide:
- a copy of an SF-50, or equivalent, which clearly demonstrates you meet the 52-week time-in-grade requirements (e.g., Promotion with an effective date more than one (1) year old, Within Grade Increase at the highest grade held, SF-50, or equivalent, at the highest grade held with an effective date more than one (1) year old).
5.
Department of Treasury Candidate - Are you a current permanent career or career-conditional, Competitive Service Department of Treasury (excluding Internal Revenue Service e.g.,
Chief Counsel, Dept. of Mint, Fiscal Service) employee?
If you indicate "Yes" for this question, you MUST submit:
If applying for a higher grade, it is recommended to also provide:
Chief Counsel, Dept. of Mint, Fiscal Service) employee?
If you indicate "Yes" for this question, you MUST submit:
- a copy of your most recent career or career-conditional SF-50 (Notification of Personnel Action) or equivalent personnel action form which shows your current grade and competitive service status (The "position occupied" block on the SF-50 should show a "1" and your "tenure" block should be a "1" or "2")
If applying for a higher grade, it is recommended to also provide:
- a copy of an SF-50, or equivalent, which clearly demonstrates you meet the 52-week time-in-grade requirements (e.g., Promotion with an effective date more than one (1) year old, Within Grade Increase at the highest grade held, SF-50, or equivalent, at the highest grade held with an effective date more than one (1) year old).
6.
Transfer Candidate - Are you currently employed as a permanent career or career-conditional employee in the competitive service outside of the Department of Treasury?
If you indicate "Yes" for this question, you MUST submit:
If applying for a higher grade, it is recommended to also provide:
For more information, review USAJOBS Transfer sources.
If you indicate "Yes" for this question, you MUST submit:
- a copy of your most recent career or career-conditional SF-50 (Notification of Personnel Action) or equivalent personnel action form which shows your current grade and competitive service status (The "position occupied" block on the SF-50 should show a "1" and your "tenure" block should be a "1" or "2")
If applying for a higher grade, it is recommended to also provide:
- a copy of an SF-50, or equivalent, which clearly demonstrates you meet the 52-week time-in-grade requirements (e.g., Promotion with an effective date more than one (1) year old, Within Grade Increase at the highest grade held, SF-50, or equivalent, at the highest grade held with an effective date more than one (1) year old).
For more information, review USAJOBS Transfer sources.
7.
Reinstatement Candidate - Were you formerly employed as a federal civilian on a permanent competitive appointment but are not currently a permanent competitive federal employee?
If you indicate "Yes" for this question, you MUST submit:
For more information, review USAJOBS Reinstatement resources and USAJOBS SF-50 resources.
If you indicate "Yes" for this question, you MUST submit:
- a copy of your most recent separation SF-50 (Notification of Personnel Action) or equivalent personnel action form which MUST reflect:
- career or career-conditional appointment type (Block 24 is Tenure 1 or 2), AND
- competitive service type (Block 34 is Position Occupied 1), AND
- a copy of an SF-50, or equivalent, that reflects your highest grade held on a permanent basis (if different than your most recent SF-50, or equivalent), AND
- if applying for a higher grade, a copy of an SF-50, or equivalent, which clearly demonstrates you meet the 52-week time-in-grade requirements (e.g., Promotion with an effective date more than one (1) year old, Within Grade Increase at the highest grade held, SF-50, or equivalent, at the highest grade held with an effective date more than one (1) year old).
For more information, review USAJOBS Reinstatement resources and USAJOBS SF-50 resources.
8.
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).
9.
Land Management Candidate -Are you a current or former temporary or term employee of a Land Management (LM) agency, i.e. Forest Service, Bureau of Land Management, National Park Service, Fish and Wildlife Service, Bureau of Indian Affairs, Bureau of Reclamation employee?
If you indicate "Yes" for this question, you MUST submit the following:
Land Management Employee:
For more information, review USAJOBS Land Management resources.
If you indicate "Yes" for this question, you MUST submit the following:
Land Management Employee:
- a copy of your SF-50 (Notification of Personnel Action) showing initial appointment under competitive procedures to the time-limited appointment for a total of more than 24 months without any break in service of two (2) or more years, AND
- proof of acceptable performance ratings for each period of employment used to meet the 24-month requirement.
- Former LM Employee - You must apply within two years of your last term or temporary job date of separation, provide the documents listed above AND a copy of your separation SF-50. Your most recent separation must be for reasons other than misconduct or performance.
For more information, review USAJOBS Land Management resources.
10.
Military Spouses (EO 13832) Candidate - Are you the spouse of an active-duty member of the Armed Forces -OR- the spouse of a retired/separated member of the Armed Forces with a disability rating of 100% from the Department of Veterans Affairs -OR- the un-married widow or widower of a member of the Armed Forces killed while on active duty status?
If you indicate "Yes" for this question, you MUST submit the following:
For more information, review FedsHireVets.gov.
If you indicate "Yes" for this question, you MUST submit the following:
- Verification of the marriage to the service member (i.e., marriage license or other legal documentation verifying marriage), AND
- If based on member's Active Duty status: proof of active duty status, i.e. Active Duty military orders, or spouse's Permanent Change of Station (PCS) with dates of active duty, or official documentation from the Armed Forces branch that verifies spouse's active status.
- If based on member's 100% disability: verification of the member's retirement or release/discharge from active duty AND verification of spouse's 100% service-connected disability (DD-214 and/or VA letter).
- If based on member's death: verification of the member's active duty status at the time of death (DD-214) AND verification of the member's death while on active duty (DD-1300).
- You are not eligible if you were not married to the veteran at the time of death or have since remarried.
- By selecting "Yes" below you are certifying that you were married to the veteran at the time of death and have not since remarried.
For more information, review FedsHireVets.gov.
11.
VEOA Candidate - Are you a veteran whose latest discharge was under honorable conditions and you:
If you indicate "Yes" for this question, you MUST submit a copy of your latest Certificate of Release or Discharge from Active Duty, DD-214 (copy indicating character of service) or other proof of your service which includes character of service.
For more information, review USAJOBS Veterans resources.
- served three (3) or more years of continuous active duty service in the military (NOTE: If released shortly before completing a 3-year tour, you are considered to meet the eligibility); -OR-
- are entitled to veterans' preference?
If you indicate "Yes" for this question, you MUST submit a copy of your latest Certificate of Release or Discharge from Active Duty, DD-214 (copy indicating character of service) or other proof of your service which includes character of service.
For more information, review USAJOBS Veterans resources.
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.
4.
In the preference question above that states "Select the locations you want to be considered for. You must choose at least one location." you selected the location(s) you prefer to be considered for.
Below, please prioritize the locations you selected above by selecting the 1st location you would like to be considered for.
Below, please prioritize the locations you selected above by selecting the 1st location you would like to be considered for.
- The following list includes ALL IRS locations but not all locations are available for this announcement.
- Only locations listed on the announcement and in the above question are available.
- Do NOT select locations you did not choose in the question above.
- Applicants will NOT be considered for locations that are not included on the announcement and in the question above.
5.
In the preference question above that states "Select the locations you want to be considered for. You must choose at least one location." you selected the location(s) you prefer to be considered for.
Below, please prioritize the locations you selected above by selecting the 2nd location you would like to be considered for. If you selected more than one location, use the following questions to prioritize each location.
· The following list includes ALL IRS locations but not all locations are available for this announcement.
· Only locations listed on the announcement and in the above question are available.
· Do NOT select locations you did not choose in the question above.
· If you do NOT have a 2nd priority, select "No additional priority location".
· Applicants will NOT be considered for locations that are not included on the announcement and in the question above.
Below, please prioritize the locations you selected above by selecting the 2nd location you would like to be considered for. If you selected more than one location, use the following questions to prioritize each location.
· The following list includes ALL IRS locations but not all locations are available for this announcement.
· Only locations listed on the announcement and in the above question are available.
· Do NOT select locations you did not choose in the question above.
· If you do NOT have a 2nd priority, select "No additional priority location".
· Applicants will NOT be considered for locations that are not included on the announcement and in the question above.
6.
In the preference question above that states "Select the locations you want to be considered for. You must choose at least one location." you selected the location(s) you prefer to be considered for.
Below, please prioritize the locations you selected above by selecting the 3rd location you would like to be considered for. If you selected more than one location, use the following questions to prioritize each location.
· The following list includes ALL IRS locations but not all locations are available for this announcement.
· Only locations listed on the announcement and in the above question are available.
· Do NOT select locations you did not choose in the question above.
· If you do NOT have a 3rd priority, select "No additional priority location".
· Applicants will NOT be considered for locations that are not included on the announcement and in the question above.
Below, please prioritize the locations you selected above by selecting the 3rd location you would like to be considered for. If you selected more than one location, use the following questions to prioritize each location.
· The following list includes ALL IRS locations but not all locations are available for this announcement.
· Only locations listed on the announcement and in the above question are available.
· Do NOT select locations you did not choose in the question above.
· If you do NOT have a 3rd priority, select "No additional priority location".
· Applicants will NOT be considered for locations that are not included on the announcement and in the question above.
7.
This vacancy announcement MAY be used to fill positions in the following schedules:
Select the work schedule you wish to be considered for. If you are selected, your work schedule will be defined at job offer.
- Full-time Permanent
- Full-time Seasonal
- Part-time Seasonal
- Intermittent
Select the work schedule you wish to be considered for. If you are selected, your work schedule will be defined at job offer.
8.
This vacancy announcement MAY be used to fill positions in the following shifts:
Select all the Shift(s) you would like to be considered for. If selected, your actual tour of duty will be defined at job offer.
- Day Shift - Start and stop times between 6:00 a.m. and 6:00 p.m.
- Mid Shift - Start and stop times between 10:00 a.m. and 8:30 p.m.
- Swing Shift - Start and stop times between 2:00 p.m. and 1:30 a.m.
- Night Shift - Start and stop times between 6:00 p.m. and 6:00 a.m.
Select all the Shift(s) you would like to be considered for. If selected, your actual tour of duty will be defined at job offer.
9.
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.
10.
If you are a current Federal employee, by what agency and organization are you employed?
11.
If you selected "Other", please enter the agency and organization.
12.
If you are a Federal employee, under what type of appointment are you currently serving?
13.
If you are a current Federal employee, what is your duty station? [City, State]
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.
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)
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." please indicate 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.)" please indicate 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.)" please indicate the name and state of the recruiting event.
If you answered "School/University announcement/career counselor" please indicate 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)" please indicate the name of the third party referral and the state you saw the advertisement.
If you answered "Newspaper (print/online)" please indicate the name of the newspaper and the state you saw the advertisement.
If you answered "Radio" please indicate the name of the radio station and state you heard the advertisement.
If you answered "Transit/Bus Advertisement" please indicate the city and state you saw the advertisement.
If you answered "Banner Advertisement - Major News Websites" please indicate the website.
If you answered "Banner Advertisement - Movie Theater Websites" please indicate the website.
If you answered "Classified Advertisement Website (Craigslist, Angie's List, etc.)" please indicate the name of the website, city and state.
If you answered "Other" please specify.
If you answered "Social Media posting (Twitter, Facebook, LinkedIn, on-line job fairs, etc.)" please indicate 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.)" please indicate the name and state of the recruiting event.
If you answered "School/University announcement/career counselor" please indicate 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)" please indicate the name of the third party referral and the state you saw the advertisement.
If you answered "Newspaper (print/online)" please indicate the name of the newspaper and the state you saw the advertisement.
If you answered "Radio" please indicate the name of the radio station and state you heard the advertisement.
If you answered "Transit/Bus Advertisement" please indicate the city and state you saw the advertisement.
If you answered "Banner Advertisement - Major News Websites" please indicate the website.
If you answered "Banner Advertisement - Movie Theater Websites" please indicate the website.
If you answered "Classified Advertisement Website (Craigslist, Angie's List, etc.)" please indicate the name of the website, city and state.
If you answered "Other" please specify.
20.
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."
21.
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.
22.
How many performance related awards, (including time off in lieu of monetary), or quality step increases have you received in the three years preceding the closing date of this announcement?
You may obtain a list of your most recent awards at https://persinfo.web.irs.gov/indexawd.htm.
You may obtain a list of your most recent awards at https://persinfo.web.irs.gov/indexawd.htm.
23.
Please list the names of any performance related awards and/or quality step increases you have received in the three years preceding the closing date of this announcement and the dates (MMDDYYYY) of the awards. (For example: Performance Award, 02/02/2019).
You may obtain a list of your most recent awards at https://persinfo.web.irs.gov/indexawd.htm.
You may obtain a list of your most recent awards at https://persinfo.web.irs.gov/indexawd.htm.
24.
Your annual performance appraisal and relevant awards are considered in the selection process.
Please indicate the option that best describes your most recent performance appraisal.
Please indicate the option that best describes your most recent performance appraisal.
25.
Please enter the date of your most recent performance appraisal.
26.
Please select the response that most accurately reflects your most recent performance appraisal or performance rating.
Assessment 1
QUALIFICATION REQUIREMENTS:
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.
AND
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
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
A combination graduate education and experience described above.
SPECIALIZED EXPERIENCE FOR GS-12: 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.
SPECIALIZED EXPERIENCE FOR GS-13: 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.
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.
AND
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
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
A combination graduate education and experience described above.
SPECIALIZED EXPERIENCE FOR GS-12: 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.
SPECIALIZED EXPERIENCE FOR GS-13: 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.
Thank you for your interest in applying for this position. Your responses to the following questions supplement the information provided in your resume.
1.
GS-1530 Statistician (Data Scientist) Basic Requirements:
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) Basic Requirements:
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.
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 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) Basic Requirements:
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.
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.
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.
Which of the following is true about your education and/or experience?
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.
Which of the following is true about your education and/or experience?
3.
TIME-IN-GRADE REQUIREMENTS FOR GS-11: 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.
Please select the response that best describes your time in grade.
Please select the response that best describes your time in grade.
4.
SPECIALIZED EXPERIENCE FOR GS-12:
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.
Which of the following is true about your experience?
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.
Which of the following is true about your experience?
5.
TIME-IN-GRADE REQUIREMENTS FOR GS-12: 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.
Please select the response that best describes your time in grade.
Please select the response that best describes your time in grade.
6.
SPECIALIZED EXPERIENCE FOR GS-13:
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.
Which of the following is true about your experience?
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.
Which of the following is true about your experience?
7.
TIME-IN-GRADE REQUIREMENTS FOR GS-13: 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.
Please select the response that best describes your time in grade.
Please select the response that best describes your time in grade.
8.
In addition to the online application and resume, you must submit a current annual Performance Appraisal. If a revalidated appraisal is used for merit promotion, the supervisor must prepare a narrative for each critical job element that does not have a narrative describing the performance in the appraisal period covered by the rating. Note: If you are a manager or management official, your most recent annual performance appraisal must be used for the overall rating identified.
Did you receive a fully successful, equivalent, or higher rating on your most recent performance appraisal?
Did you receive a fully successful, equivalent, or higher rating on your most recent performance appraisal?
9.
If you answered "I do not have a recent performance appraisal." in the previous question, please indicate why you do not have a current performance appraisal otherwise please enter N/A.
10.
Please select the option that best describes your most recent performance appraisal.
11.
Please enter the date of your most recent performance appraisal.
12.
Please select the rating that you achieved on your most recent performance appraisal. For Non-IRS CTAP employees select the response that most accurately reflects your most recent performance rating.
13.
Are you currently in the same Business Operating Division and job series as the position for which you are applying to via this announcement?
14.
What is your experience participating in a project team?
15.
On which of the following topics have you been asked by a manager to provide training or guidance to peers/team members?
16.
Which of the following types of software packages have you used to analyze or manage data in a professional environment?
17.
I have experience performing the following duties:
18.
Describe your experience presenting mathematical and/or statistical information.
19.
Which of the following documents have you written?
20.
Which of the following describes your experience with project design and implementation?
21.
Which of the following describes your experience with workload management and timeliness?
22.
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?
23.
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.