- Position Title
- Statistician (Data Scientist)
- Agency
- Bureau of the Fiscal Service
- Announcement Number
- 24-FS-321-DH Opens in new window
- Open Period
- Wednesday, April 3, 2024 to Friday, April 12, 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.
Are you a surplus or displaced Federal employee eligible under the Career Transition Assistance Plan (CTAP)? Click CTAP for eligibility and a detailed list of required documents you must submit in order to be eligible.
3.
Are you a displaced Federal employee eligible under the Interagency Career Transition Assistance Plan (ICTAP)? Click ICTAP for eligibility and a detailed list of required documents you must submit in order to be eligible.
Preferences
1.
Select the lowest grade you are willing to accept for this position.
2.
Are you currently serving or have served in the last five years in a Political Appointment in the Federal Government?
3.
Where did you learn about this Department of the Treasury job opportunity?
4.
If you were born a male after December 31, 1959, and are at least 18 years of age, have you registered with the Selective Service System (select "Not applicable" if this question does not apply to you)?
Assessment 1
Basic Requirements for this position include:
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
B. Combination of education and experience -- courses as shown in A 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.
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
B. Combination of education and experience -- courses as shown in A 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.
1.
After carefully reading the above requirements, do you meet the basic requirements for this position?
For the 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:
- Experience in all stages of the data analytic cycle, including data collection, preprocessing, analysis, and visualization Proficient in designing and implementing complex data analysis plans and strategies; AND
- Experience with programming languages such as Python, R or SQL for advanced data manipulation, statistical analysis and machine learning model development; AND
- Excellent communication skills to effectively convey complex data analysis results to technical and non-technical audiences. Experience in producing high-quality report, interactive data visualizations, and impactful presentations; AND
- Experience leading and managing research projects independently. Experience in formulating research strategies, collaborating independently with interdisciplinary teams, and mentoring junior data scientists in research methodologies.
- Experience in all stages of the data analytic cycle, including data collection, preprocessing, analysis, and visualization Proficient in designing and implementing complex data analysis plans and strategies; AND
- Experience with programming languages such as Python, R or SQL for advanced data manipulation, statistical analysis and machine learning model development; AND
- Excellent communication skills to effectively convey complex data analysis results to technical and non-technical audiences. Experience in producing high-quality report, interactive data visualizations, and impactful presentations; AND
- Experience leading and managing research projects independently. Experience in formulating research strategies, collaborating independently with interdisciplinary teams, and mentoring junior data scientists in research methodologies.
2.
For the GS-13, do you meet the specialized experience described above?
For the 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:
- Extensive experience in all stages of the data analytic cycle, including data collection, preprocessing, analysis, and visualization. Proficient in designing and implementing data analysis plans and strategies. AND
- Experience with programming languages such as Python, R, or SQL for complex data manipulation, statistical analysis, and machine learning model development; AND
- Experience effectively presenting and communicating complex data analysis results to both technical and non-technical stakeholders. Experience in creating comprehensive reports, interactive data visualizations, and engaging presentations; AND
- Experience conducting independent research with minimal supervision. Experience in formulating research questions, designing experiments, and applying advanced analytics techniques to generate actionable insights.
- Extensive experience in all stages of the data analytic cycle, including data collection, preprocessing, analysis, and visualization. Proficient in designing and implementing data analysis plans and strategies. AND
- Experience with programming languages such as Python, R, or SQL for complex data manipulation, statistical analysis, and machine learning model development; AND
- Experience effectively presenting and communicating complex data analysis results to both technical and non-technical stakeholders. Experience in creating comprehensive reports, interactive data visualizations, and engaging presentations; AND
- Experience conducting independent research with minimal supervision. Experience in formulating research questions, designing experiments, and applying advanced analytics techniques to generate actionable insights.
3.
For the GS-12, do you meet the specialized experience described above?
For the GS-11, you must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal service. Specialized experience for this position includes:
- Experience in conducting data collection, preprocessing, analysis, and visualization tasks as part of the data analytic cycle; AND
- Experience with at least one programming language commonly used in data science, such as Python or R, to perform data manipulation, statistical analysis, and simple machine learning tasks; AND
- Experience effectively communicating and presenting data analysis results to both technical and non-technical stakeholders and creating clear and concise reports, data visualizations, and presentations; AND
- Experience applying critical thinking and problem-solving skills to address data-related challenges. Experience in identifying patterns, trends, and anomalies in data sets to derive meaningful insights.
OR
You may substitute education for specialized experience as follows: Ph.D. or equivalent doctoral degree or 3 full years of progressively higher level graduate education leading to such a degree.
OR
You may qualify by a combination of education and experience. To combine education and experience, the total percentage of experience at the required grade level compared to the requirement, as well as the percentage of completed education compared to the requirement must equal at least 100 percent. Only graduate level education in excess of the first 36 semester hours (54 quarter hours) may be combined to be considered for qualifying education.
- Experience in conducting data collection, preprocessing, analysis, and visualization tasks as part of the data analytic cycle; AND
- Experience with at least one programming language commonly used in data science, such as Python or R, to perform data manipulation, statistical analysis, and simple machine learning tasks; AND
- Experience effectively communicating and presenting data analysis results to both technical and non-technical stakeholders and creating clear and concise reports, data visualizations, and presentations; AND
- Experience applying critical thinking and problem-solving skills to address data-related challenges. Experience in identifying patterns, trends, and anomalies in data sets to derive meaningful insights.
OR
You may substitute education for specialized experience as follows: Ph.D. or equivalent doctoral degree or 3 full years of progressively higher level graduate education leading to such a degree.
OR
You may qualify by a combination of education and experience. To combine education and experience, the total percentage of experience at the required grade level compared to the requirement, as well as the percentage of completed education compared to the requirement must equal at least 100 percent. Only graduate level education in excess of the first 36 semester hours (54 quarter hours) may be combined to be considered for qualifying education.
4.
For the GS-11, do you meet either the specialized experience or the education described above?
5.
Which of the following best describes your experience developing statistical analyses using commonly used approaches with R or using Python?
6.
Which of the following best indicates your experience gathering and evaluating information and data?
7.
Which of the following techniques have you applied to an analytic project or study?
8.
Which of the following analysis techniques or procedures have you conducted?
9.
Which of the following best describes your experience employing data analysis techniques to large, structured data sets?
10.
Choose the statement(s) that describe your experience in the following analytical processes and procedures:
11.
Select one description which best represents your highest level of experience in interacting and achieving consensus with various groups and individuals.
12.
Choose the statement(s) that describe your communication/briefing experience to support organizational goals and leadership.
13.
Choose the one statement that best describes your experience developing memos, briefings, and other communication materials regarding data analysis efforts to senior executives.
14.
From the following list, select those activities that represent your experience in solving problems.