- Position Title
- Data Scientist- Direct Hire (6 Month Roster)
- Agency
- Internal Revenue Service
- Announcement Number
- 24-12306897M-RAD-1560-14 Opens in new window
- Open Period
- Friday, February 16, 2024 to Monday, August 19, 2024
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?
Preferences
1.
Select the location(s) you want to be considered for. You must choose at least one location.
Assessment 1
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS All GRADES: EDUCATION: A degree in mathematics, statistics, computer science, data science, or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
AND
SPECIALIZED EXPERIENCE GRADE 14: 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. Specialized experience for this position includes: Experience applying 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 study. Experience using scientific methods to plan, design, conduct, and present data science projects to stakeholders. Experience planning and executing a variety of projects and in making recommendations requiring technical and administrative judgment. Experience developing long- and short-term program plans, assess resource utilization, initiate, or recommend new or revised processes and procedures. Experience applying statutory, regulatory and policy requirements and guidelines to analyze data, draw valid conclusions, formulate policy or procedures. Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning and artificial intelligence. Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming. Experience with research and study design from the formulation of concepts through specification and analysis of output to the presentation of conclusions. Experience with project planning techniques along with negotiating with management to accept and implement recommendations. Experience preparing and analyzing structured and unstructured datasets. Experience coding in various programming languages. Analytic platforms, artificial intelligence (AI), data visualization and data reporting tools and scripting tools to conduct data science projects, as well as instruct others. Experience preparing written and oral communications, to produce authoritative reports, position papers, briefings, and presentations that effectively communicates ideas to IRS executives, managers, and technical experts.
BASIC REQUIREMENTS All GRADES: EDUCATION: A degree in mathematics, statistics, computer science, data science, or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
AND
SPECIALIZED EXPERIENCE GRADE 14: 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. Specialized experience for this position includes: Experience applying 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 study. Experience using scientific methods to plan, design, conduct, and present data science projects to stakeholders. Experience planning and executing a variety of projects and in making recommendations requiring technical and administrative judgment. Experience developing long- and short-term program plans, assess resource utilization, initiate, or recommend new or revised processes and procedures. Experience applying statutory, regulatory and policy requirements and guidelines to analyze data, draw valid conclusions, formulate policy or procedures. Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning and artificial intelligence. Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming. Experience with research and study design from the formulation of concepts through specification and analysis of output to the presentation of conclusions. Experience with project planning techniques along with negotiating with management to accept and implement recommendations. Experience preparing and analyzing structured and unstructured datasets. Experience coding in various programming languages. Analytic platforms, artificial intelligence (AI), data visualization and data reporting tools and scripting tools to conduct data science projects, as well as instruct others. Experience preparing written and oral communications, to produce authoritative reports, position papers, briefings, and presentations that effectively communicates ideas to IRS executives, managers, and technical experts.
Thank you for your interest in applying for this position. Your responses to the following questions supplement the information provided in your resume.
1.
BASIC REQUIREMENTS (IOR):
EDUCATION: A degree in mathematics, statistics, computer science, data science, or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
Which of the following is true about your education and/or experience?
EDUCATION: A degree in mathematics, statistics, computer science, data science, or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
Which of the following is true about your education and/or experience?
2.
SPECIALIZED EXPERIENCE GRADE 14: 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. Specialized experience for this position includes: Experience applying 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 study. Experience using scientific methods to plan, design, conduct, and present data science projects to stakeholders. Experience planning and executing a variety of projects and in making recommendations requiring technical and administrative judgment. Experience developing long- and short-term program plans, assess resource utilization, initiate, or recommend new or revised processes and procedures. Experience applying statutory, regulatory and policy requirements and guidelines to analyze data, draw valid conclusions, formulate policy or procedures. Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning and artificial intelligence. Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming. Experience with research and study design from the formulation of concepts through specification and analysis of output to the presentation of conclusions. Experience with project planning techniques along with negotiating with management to accept and implement recommendations. Experience preparing and analyzing structured and unstructured datasets. Experience coding in various programming languages. Analytic platforms, artificial intelligence (AI), data visualization and data reporting tools and scripting tools to conduct data science projects, as well as instruct others. Experience preparing written and oral communications, to produce authoritative reports, position papers, briefings, and presentations that effectively communicates ideas to IRS executives, managers, and technical experts.
Which of the following is true about your specialized experience?
Which of the following is true about your specialized experience?
3.
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?
4.
I certify that, to the best of my knowledge and belief, all 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.