- Position Title
- Financial Data Scientist (Operations Research Analyst)
- Agency
- Treasury, Departmental Offices
- Announcement Number
- 24-DO-208-DH Opens in new window
- Open Period
- Tuesday, December 19, 2023 to Tuesday, December 26, 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.
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)?
5.
Are you a current Federal employee?
6.
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.
(limit 250 characters)
(limit 250 characters)
Assessment 1
Basic Requirements:
Degree: in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus.
Evaluation of Education:
The primary requirement of operations research work is competence in the rigorous methods of scientific inquiry and analysis rather than in the subject matter of the problem. Therefore, applicants should have sufficient knowledge of applied mathematics to understand and use the fundamental concepts and techniques of operations research methods of analysis. In addition, some positions may require knowledge of a specific subject area.
Courses acceptable for qualifying for operations research positions may have been taken in departments other than Operations Research, e.g., Engineering (usually Industrial Engineering), Science, Economics, Mathematics, Statistics, or Management Science.
The following are illustrative of acceptable courses: optimization; mathematical modeling; queueing theory; engineering; physics (except descriptive or survey courses); econometrics; psychometrics; biometrics; experimental psychology; physical chemistry; industrial process analysis; managerial economics; computer science; measurement for management; mathematical models in social phenomena; and courses that involved application of operations research techniques and methodologies to problems of management, marketing, systems design, and other specialized fields; or other comparable quantitative analysis courses for which college-level mathematics or statistics is a prerequisite. Courses in theory of probability and statistics are highly desirable, but are not specified as minimum educational requirements because to do so would possibly exclude some applicants who would otherwise be well qualified.
Degree: in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus.
Evaluation of Education:
The primary requirement of operations research work is competence in the rigorous methods of scientific inquiry and analysis rather than in the subject matter of the problem. Therefore, applicants should have sufficient knowledge of applied mathematics to understand and use the fundamental concepts and techniques of operations research methods of analysis. In addition, some positions may require knowledge of a specific subject area.
Courses acceptable for qualifying for operations research positions may have been taken in departments other than Operations Research, e.g., Engineering (usually Industrial Engineering), Science, Economics, Mathematics, Statistics, or Management Science.
The following are illustrative of acceptable courses: optimization; mathematical modeling; queueing theory; engineering; physics (except descriptive or survey courses); econometrics; psychometrics; biometrics; experimental psychology; physical chemistry; industrial process analysis; managerial economics; computer science; measurement for management; mathematical models in social phenomena; and courses that involved application of operations research techniques and methodologies to problems of management, marketing, systems design, and other specialized fields; or other comparable quantitative analysis courses for which college-level mathematics or statistics is a prerequisite. Courses in theory of probability and statistics are highly desirable, but are not specified as minimum educational requirements because to do so would possibly exclude some applicants who would otherwise be well qualified.
Select “Yes” or “No” to the following question(s).
1.
Do you meet the basic requirements as described above?
Specialized experience for the OR-53, (GS-13 equivalent): An applicant must have one year of specialized experience at, or equivalent to, at least the OR-52 (GS-12 equivalent) in the Federal service, directly related to the position to be filled and that has equipped the candidate with the particular knowledge, skills, and abilities to successfully perform the duties of the position. Specialized experience for this position includes ALL of the following:
- Analyzing data using statistical and mathematical techniques to evaluate program effectiveness; AND
- Experience writing code in a statistical or computer programming language such as SAS, R or Python to aid in analysis; AND
- Evaluating models, recommendations, and reports to solve problems with nationwide impact.
Select “Yes” or “No” to the following question(s).
2.
Do you meet the specialized experience for the OR-53 (GS-13 equivalent) as stated in the vacancy announcement?
3.
Make sure experience is clearly documented in your resume. Please give the dates/resume reference when you gained this experience so it may be found to ensure you receive proper credit.
(limit 240 characters)
Specialized experience for the OR-52, (GS-12 equivalent): An applicant must have one year of specialized experience at, or equivalent to, at least the OR-51 (GS-11 equivalent) in the Federal service, directly related to the position to be filled and that has equipped the candidate with the particular knowledge, skills, and abilities to successfully perform the duties of the position. Specialized experience for this position includes ALL of the following:
- Reviewing data using statistical and mathematical techniques to evaluate program effectiveness; AND
- Experience writing code in a statistical or computer programming language such as SAS, R or Python to aid in analysis; AND
- Assisting in the development, maintenance, and enhancement of data (feature engineering), macroprudential financial models, analysis, data products (financial monitors), and visualizations that provide insights on the factors and externalities that affect financial stability.
Select “Yes” or “No” to the following question(s).
4.
Do you meet the specialized experience for the OR-52 (GS-12 equivalent) as stated in the vacancy announcement?
5.
Make sure experience is clearly documented in your resume. Please give the dates/resume reference when you gained this experience so it may be found to ensure you receive proper credit.
(limit 240 characters)
Specialized experience for the OR-51, (GS-11 equivalent): An applicant must have one year of specialized experience at, or equivalent to, at least the OR-42 (GS-09 equivalent) in the Federal service, directly related to the position to be filled and that has equipped the candidate with the particular knowledge, skills, and abilities to successfully perform the duties of the position. Specialized experience for this position includes ALL of the following:
OR
You may substitute education for specialized experience as follows:
OR
Have a combination of specialized experience and graduate level education. Only graduate level education in excess of the first 36 semester hours may be used as qualifying when combining education and experience.
- Reviewing data using statistical and mathematical techniques to assist in evaluating program effectiveness; AND
- Experience writing code in a statistical or computer programming language such as SAS, R or Python to aid in analysis; AND
- Assisting in the performance of analyses of large-scale data and preparing findings.
OR
You may substitute education for specialized experience as follows:
- a Ph.D. or equivalent doctoral degree; OR
- 3 full years of progressively higher level graduate education leading to such a degree; OR
- a LL.M., if related;
OR
Have a combination of specialized experience and graduate level education. Only graduate level education in excess of the first 36 semester hours may be used as qualifying when combining education and experience.
Select “Yes” or “No” to the following question(s).
6.
Do you meet the specialized experience and/or education for the OR-51 (GS-11 equivalent) as stated in the vacancy announcement?
7.
Make sure experience is clearly documented in your resume. Please give the dates/resume reference when you gained this experience so it may be found to ensure you receive proper credit.
(limit 240 characters)
8.
Select the choice(s) that match your experience as it relates to research and analysis. Select all that apply.
9.
Select the types of research and analysis tasks you have completed.
10.
From the following list of research skills, identify all those you have applied in a professional setting.
11.
Select the option that best describes your experience analyzing and normalizing data sources to ensure comparisons of historical data can be made and forecasts developed.
12.
Please describe your level of facility in building data visualizations.
13.
From the following list, select the item(s) that you have applied in a professional setting.
14.
Select the one response that accurately reflects your performance to identify and/or evaluate innovation and its impact on programs.
15.
Choose the statement that best describe your experience with and skill in applying broad areas of operations research, mathematics, and statistics sufficient to serve as an authority in data science and a technical advisor to senior subject matter specialists and agency officials.
16.
Choose from the statements listed below those that describe your experience communicating in writing.
17.
Select from the following statement(s) which describe your experience communicating verbally with various levels of employees and management in order to obtain and provide information.