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Mathematical Statistician (Data Scientist)

Department of Justice
Office of the Inspector General
Office of Data Analytics (ODA)
This job announcement has closed

Summary

Justice OIG, named the best place to work in DOJ, offers telework and excellent work-life flexibilities and encourages Schedule A and diverse applicants. The OIG's Office of Data Analytics is seeking highly motivated professionals to perform data science and data work analytics to promote integrity, efficiency, and accountability within the Department of Justice. The Office of Data Analytics collaborates across the OIG and is committed to innovation and delivering results.

Overview

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Reviewing applications
Open & closing dates
07/10/2023 to 07/14/2023
Salary
$77,738 to - $133,236 per year
Pay scale & grade
GS 11 - 12
Locations
Few vacancies in the following locations:
San Francisco, CA
Washington DC, DC
Boston, MA
Remote job
No
Telework eligible
Yes—as determined by the agency policy.
Travel Required
Occasional travel - You may be expected to travel up to 10% for this position.
Relocation expenses reimbursed
No
Appointment type
Permanent
Work schedule
Full-time
Service
Competitive
Promotion potential
14
Job family (Series)
Supervisory status
No
Security clearance
Top Secret
Drug test
Yes
Position sensitivity and risk
Moderate Risk (MR)
Trust determination process
Announcement number
12025903-BSM
Control number
736162100

This job is open to

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Clarification from the agency

Open ONLY to Current permanent DOJ employees in the local commuting area who have been identified as surplus and eligible for priority consideration under the Career Transition Program (CTAP); OR current or former displaced permanent Federal employees in the local commuting area and eligible for consideration under the Interagency Career Transition Assistance Program (ICTAP).

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Duties

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If you are selected as a Mathematical Statistician (Data Scientist), your responsibilities would include, but would not be limited to:

GS-11:

  • Performs explorative data analyses and statistical analyses on large and complex data.
  • Writes code in statistical and data science software applications and programming languages to analyze a wide variety of data.
  • Applies statistical/mathematical methods, such as regression analysis, sampling design and estimation, machine learning, geospatial analysis, time series analysis, or other inferential statistics to solve research objectives.
  • Develops sound mathematical/statistical research design to solve problems and interpret the results of those solutions.
  • Conveys methodological approaches, analyses, and information in written form, such as technical reports and literature reviews.
  • Conveys methodological approaches, analyses, and information through oral briefings, consultations, and presentations to technical and non-technical audiences.
GS-12:
  • Performs advanced explorative data analyses and statistical analyses on large and complex data.
  • Writes code in statistical and data science software applications and programming languages to analyze a wide variety of complex data.
  • Applies advanced statistical/mathematical methods, such as regression analysis, sampling design and estimation, machine learning, geospatial analysis, time series analysis, or other inferential statistics to solve research objectives.
  • Develops sound mathematical/statistical research design to solve complex problems and interpret the results of those solutions.
  • Conveys methodological approaches, analyses, and information in written form, such as technical reports and literature reviews.
  • Conveys complex methodological approaches, analyses, and information through oral briefings, consultations, and presentations to technical and non-technical audiences.
Responsibilities will increase and assignments will become more complex as your training and experience progresses.

Requirements

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Conditions of employment

  • You must be a U.S. Citizen or National.
  • You must be able to obtain and maintain a security clearance.
  • You must be registered for the Selective Service, if applicable.
  • You must successfully pass and are subject to random drug screenings.
  • You must meet all qualification requirements by the closing date of this announcement.
  • You may be subject to a probationary period.
  • Candidates may be eligible for the Federal Student Loan Repayment Program.

Qualifications

Education Requirements Mathematical Statistics Series 1529:

Basic Requirements for all grade levels:

Degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics.

or

Combination of education and experience -- at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education. NOTE: You must submit a copy of your unofficial transcript that supports the positive education requirement.

Evaluation of Education:

Courses acceptable toward meeting the mathematics course requirement of paragraphs A or B above 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.

Evaluation of Experience:

The experience offered in combination with educational courses to meet the requirements in paragraph B above should include 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.

Without other indications of statistical experience, work required in the processing of numerical or quantified information by other than statistical methods is not considered appropriate qualifying experience. Examples of such nonqualifying work include statistical clerical work; statistical drafting; calculation of totals, averages, percentages, or other arithmetic summations; preparation of simple tables or charts; or verification of data by simple comparison or proofreading.

In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:

Specialized Experience:

For the GS-11, your resume must show in detail that you have one year of experience at a level of difficulty and responsibility equivalent to the GS-09 performing the following duties:

1. Writing code in a widely used statistical/data science software application or equivalent programming languages (e.g., Python, R or equivalent).
2. Applying statistical and mathematical methods, such as regression analysis, sampling design and estimation, machine learning, geospatial analysis, time series analysis, or other inferential statistics to solve research objectives.
3. Communicating results of statistical and mathematical methods.

- or -

Education: 3 years of progressively higher-level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree

For the GS-12, your resume must show in detail that you have one year of experience at a level of difficulty and responsibility equivalent to the GS-11 performing the following duties:

1. Writing code in a widely used statistical/data science software application or equivalent programming languages (e.g., Python, R or equivalent) to analyze a wide variety of data.

2. Applying advanced statistical and mathematical methods, such as regression analysis, sampling design and estimation, machine learning, geospatial analysis, time series analysis, or other inferential statistics to solve research objectives.

3. Communicating results of complex statistical and mathematical methods.

Time in Grade Requirement: Applicants who have held a General Schedule (GS) position within the last 52 weeks must have 52 weeks of Federal service at the next lower grade level (or equivalent).

Education

All academic degrees and coursework must be completed at a college or university that has obtained accreditation or pre-accreditation status from an accrediting body recognized by the U.S. Department of Education. For a list of schools that meet this criteria, see www.ed.gov. For foreign education, see: http://www.ed.gov/about/offices/list/ous/international/usnei/us/edlite-visitus-forrecog.html.

You must submit a copy of your unofficial transcript to support the positive education requirement.

Additional information

DOJ EEO Statement/Policy: http://www.justice.gov/jmd/eeos/08-eeo-policy.pdf
As the federal agency whose mission is to ensure the fair and impartial administration of justice for all Americans, the Department of Justice is committed to fostering a diverse and inclusive work environment. To build and retain a workforce that reflects the diverse experiences and perspectives of the American people, we welcome applicants from the many communities, identities, races, ethnicities, backgrounds, abilities, religions, and cultures of the United States who share our commitment to public service.

Veterans Employment Opportunity Act (VEOA): VEOA allows eligible veterans to apply and compete for positions announced under merit promotion procedures when the hiring agency is recruiting from outside its own workforce. To be eligible for a VEOA appointment, a veteran must be honorably separated and either a preference eligible or have substantially completed three (3) or more years of continuous active military service. If you are applying for a Merit Promotion announcement and wish to be considered under the VEOA, you must submit a copy of the Member Copy 4 of your DD-214, in addition to any other required documents listed on this announcement.

Reasonable Accommodation (RA) Requests: If you believe you have a disability (i.e., physical or mental), covered by the Rehabilitation Act of 1973 as amended, that would interfere with completing the USA Hire Competency Based Assessments, you will be granted the opportunity to request a RA in your online application. Requests for RA for the USA Hire Competency Based Assessments and appropriate supporting documentation for RA must be received prior to starting the USA Hire Competency Based Assessments. Decisions on requests for RA are made on a case-by-case basis. If you meet the minimum qualifications of the position, after notification of the adjudication of your request, you will receive an email invitation to complete the USA Hire Competency Based Assessments. You must complete all assessments within 48 hours of receiving the URL to access the USA Hire Competency Based Assessments, if you received the link after the close of the announcement. To determine if you need a RA, please review the Procedures for Requesting a Reasonable Accommodation for Online Assessments here: https://help.usastaffing.gov/Apply/index.php?title=Reasonable_Accommodations_for_USA_Hire

Selective Service: If you are a male applicant born after December 31, 1959, you must certify that you have registered with the Selective Service System, or are exempt from having to do so under the Selective Service Law. Additional information is found at: www.sss.gov.

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

You will be evaluated based on how well you meet the qualifications listed in this vacancy announcement. Your qualifications will be evaluated based on your application materials (e.g., resume, supporting documents), the responses you provide on the application questionnaire, and the result of the online assessments required for this position and a review of your application by a panel of subject matter experts. You will be assessed on the following competencies (knowledge, skills, abilities, and other characteristics):

  • Ability to conduct statistical analysis of large and complex datasets.
  • Knowledge of professional mathematical, statistical, and management theories and techniques.
  • Ability to communicate in writing.
  • Ability to effectively communicate orally the results of complex analysis.
Overstating your qualifications and/or experience in your application materials or application questionnaire may result in your removal from consideration. Cheating on the online assessment may also result in your removal from consideration.

To preview the application questionnaire, click the following link: https://apply.usastaffing.gov/ViewQuestionnaire/12025903

If you are found to be among the top candidates, you will be referred to the selecting official for further employment consideration.

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