Skip to main content
U.S. flag
Back to results

Mathematical Statistician (Data Scientist) or Statistician (Data Scientist)

Department of the Treasury
Internal Revenue Service
This job announcement has closed

Summary

Click on "Learn more about this agency" button below to view Eligibilities being considered and other IMPORTANT information.

WHERE CAN I FIND OUT MORE ABOUT OTHER IRS CAREERS? Visit us on the web at www.jobs.irs.gov

Overview

Help
Hiring complete
Open & closing dates
01/03/2024 to 01/18/2024
Salary
$57,118 to - $91,873 per year
Pay scale & grade
GS 9
Location
IRS Nationwide Locations,
3 vacancies
Remote job
No
Telework eligible
Yes—as determined by the agency policy.
Travel Required
Occasional travel - You may be expected to travel for this position.
Relocation expenses reimbursed
No
Appointment type
Permanent
Work schedule
Full-time
Service
Competitive
Promotion potential
13
Supervisory status
No
Security clearance
Not Required
Drug test
No
Position sensitivity and risk
Moderate Risk (MR)
Trust determination process
Announcement number
24-12237152M-RAX-MULTI-9
Control number
768603700

Videos

Duties

Help

WHAT IS THE RAAS - Research, Applied Analytics and StatisticsDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

Vacancies will be filled in the following specialty areas:

  • Research, Applied Analytics and Statistics Data Exploration and Testing.

The following are the duties of this position at the full working level. If this vacancy includes more than one grade and you are selected at a lower grade level, you will have the opportunity to learn to perform these duties and receive training to help you grow in this position.
  • Collaborates with business and technology partners to understand business needs, identify opportunities, and develop and implement analytical solutions.
  • Assists in identifying and assessing relevant data sources' validity and reliability to meet project needs.
  • Collates, cleans, transforms, analyzes, and integrates structures and unstructured data from various sources in preparation for analysis.
  • Applies scientific, data mining, and statistical theory and methods to test hypotheses using structured and unstructured data
  • Assists in the development of data product solutions to improve customer experiences, anomaly detection, and business outcomes.

Requirements

Help

Conditions of employment

  • Must be a U.S. Citizen or National and provide proof of U.S. Citizenship. (Birth certificate showing birth in the U.S; Unexpired U.S. Passport; Certificate of Citizenship or Naturalization; or Report of Birth Abroad of a U.S. Citizen (Form FS-240))
  • Undergo a review of prior performance/conduct and an income tax verification. Refer to "Get Your Tax Record" at http://www.irs.gov/(https://www.irs.gov/individuals/get-transcript) to check the status of your account, balance owed, payment history, make a payment, or review answers to tax questions. If you are not in compliance, you will be determined unsuitable for employment with IRS.
  • Must successfully complete a background investigation, including a FBI criminal history record check (fingerprint check).
  • Complete a Declaration for Federal Employment to determine your suitability for Federal employment, at the time requested by the agency.
  • Go through a Personal Identity Verification (PIV) process that requires two forms of identification from the Form I-9. Federal law requires verification of the identity and employment eligibility of all new hires in the U.S. These documents must be unexpired original or certified copies.
  • Obtain and use a Government-issued charge card for business-related travel.

Qualifications

Federal experience is not required. The experience may have been gained in the public sector, private sector or Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/year, and indicate number of hours worked per week, on your resume.

You must meet the following requirements by the closing date of this announcement:

GS-1530 Statistician (Data Scientist) Basic Requirements:
You must have 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
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 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.

SPECIALIZED EXPERIENCE FOR GS-09: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-7 grade level in the Federal service. Specialized experience for this position includes at least three 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: Two (2) full academic years of progressively higher level graduate education in in Mathematics, statistics or related field of study from an accredited college or university. OR master's or equivalent degree in Mathematics, statistics or related field of study from an accredited college or university.


For more information on qualifications please refer to OPM's Qualifications Standards.

Education

For positions with an education requirement, or if you are qualifying for this position by substituting education or training for experience, submit a copy of your transcripts or equivalent. An official transcript will be required if you are selected.

A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.

FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here for Foreign Education Credentialing instructions.

Additional information

  • Subject to a 1-year probationary period (unless already completed).
  • Have your salary sent to a financial institution of your choice by Direct Deposit/Electronic Funds Transfer.
  • If you are a male applicant born after December 31, 1959, certify that you have registered with the Selective Service System or are exempt from having to do so.
  • We may select from this announcement or any other source to fill one or more vacancies. Additional jobs may be filled.
  • The salary range indicated in this announcement reflects the minimum locality pay up to maximum locality pay for all duty locations listed. The range will be adjusted for selected duty location. General Schedule locality pay tables may be found under Salaries & Wages.
  • This is a bargaining unit position.
  • Tour of Duty: Day Shift
  • Alternative work schedule, staggered work hours or telework may be available.
  • If this position is designated as hard to fill and you were referred by an IRS employee, the employee may be eligible to receive a bonus for referring you under The Employee Referral Bonus Program (ERBP), recruiting strategy.
  • Telework Eligible Positions: Telework eligible positions do not guarantee telework. Employees must meet and sustain IRS telework eligibility requirements (e.g., reporting at least twice a pay period to your assigned Post of Duty (POD)) and supervisor's approval to participate in the IRS Telework Program. Employees must also be within a 200-mile radius of their official assigned post-of-duty (POD) while in a telework status. As a reminder - If you are selected for a position, you are responsible for reporting to your designated POD (location) on the negotiated start date or as directed by management.

How you will be evaluated

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

Your application includes your resume, responses to the online questions, and required supporting documents. Please be sure that your resume includes detailed information to support your qualifications for this position; failure to provide sufficient evidence in your resume may result in a "not qualified" determination.

Rating: You will be assessed on the following competencies (knowledge, skills, abilities, and other characteristics):

  • Attention to Detail
  • Oral Communication
  • Planning and Evaluating
  • Statistical Methods
  • Technical Competence
  • Writing


Category rating will be used to rank and select eligible candidates. If qualified, you will be assigned to one of two quality level categories, CAT A/B, CAT C depending on your responses to the online questions, regarding your experience, education, and training related to this position. Your rating may be lowered if your responses to the online questions are not supported by the education and/or experience described in your application.

Referral: If you are among the top qualified candidates, your application may be referred to a selecting official for consideration. Candidates, if required to participate in a selection interview (telephonic and/or in person at the discretion of the Selecting Official in accordance with hiring practices), will be interviewed in quality group order. We will not reimburse costs related to the interview such as travel to and from the interview site.

Veterans' preference is applied after applicants are assessed. Qualified preference eligibiles who have a compensable service-connected disability of 10 percent or more (CPS, CP) are placed at the top of the highest category on the referral list (except for scientific or professional positions at the GS-9 level or higher). Remaining preference eligibles are placed above non-preference eligibles within their assigned category.

If you are a displaced or surplus Federal employee (eligible for the Career Transition Assistance Plan (CTAP)/Interagency Career Transition Assistance Plan (ICTAP), you must receive a rating of category CAT C to be rated as "well qualified" to receive special selection priority.

Your session is about to expire!

Your USAJOBS session will expire due to inactivity in 8 minutes. Any unsaved data will be lost if you allow the session to expire. Click the button below to continue your session.