Mathematical statistician (data scientist) - direct hire

Summary

WHAT IS DATA AND ANALYTICS? A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

Position(s) are to be filled in the following area(s): DAO- Data and Analytics Office (DAO)-RESEARCH, APPLIED ANALYTICS & STATISTICS (RAAS) Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.

REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Duties

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.

• Develops and evaluates statistical models, sampling methodologies, forecasting techniques, classification algorithms, and other quantitative approaches to identify trends, assess program performance, measure outcomes, and support evidence-based decision making.
• Identifies data sources, assesses data quality, and performs data preparation and integration.
• Conducts research studies, exploratory analyses, hypothesis testing, model validation, sensitivity analyses, and other statistical investigations to produce defensible and actionable findings.
• Develops innovative approaches for integrating and analyzing data from multiple internal and external sources to address emerging program needs.
• Reviews research proposals and provides recommendations to management.
• Prepares technical reports, briefing materials, presentations, and documentation describing methodologies, assumptions, findings, limitations, and recommendations.
• Defines study objectives, develops project methodologies, establishes analytical requirements, and determines appropriate statistical techniques to achieve project goals.
• Ensures analytical products are technically sound, reproducible, and aligned with organizational objectives.
• Serves as a technical consultant and advisor to managers, analyst, program officials and project teams on statistical methodologies, research design, data science applications, quantitative analysis, and interpretation of results.

Requirements

Conditions of employment

• Probationary Period - All newly appointed employees to the competitive (or excepted) service are subject to a probationary (or trial) period. During this time, your performance, conduct, and suitability for continued employment will be evaluated. You will not automatically convert to permanent status at the end of the probationary (or trial) period. Your supervisor must affirmatively determine that continued employment is in the best interest of the Federal service. If no certification is made before the probationary (or trial) period ends, your appointment will be terminated.
• You are encouraged to actively engage with your supervisor, seek feedback, and understand role expectations. Additional guidance and support will be provided during onboarding.
• Government Credit Card - Obtain and use a Government-issued charge card for business-related travel.

Key Eligibility Requirements:

• U.S Citizenship - Must be a U.S. Citizen or National and provide proof of U.S. Citizenship.
• Selective Service Registration - Males born after December 31, 1959 are required to be registered with the Selective Service System or prove they are exempt from having to do so.
• Personal Identity Verification (PIV) - Must provide 2 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.

ADDITIONAL REQUIREMENTS SHOWN IN QUALIFICATIONS OR ADDITIONAL INFORMATION SECTIONS

Qualifications

Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-time work is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume. You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.

IOR BASIC REQUIREMENTS GS-1529 Mathematical Statistician (Data Scientist):

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 Combination of education and experience -- 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.

AND GS-1529-11 SPECIALIZED EXPERIENCE:

To be eligible for this position at this grade level, you must meet the following requirements. 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-09 grade level in the Federal service. Examples of specialized experience for this position may include: Experience using data mining process models (such as CRISP-DM, SEMMA, etc.,) to design and execute data science projects. Experience preparing and analyzing structured and unstructured datasets to explorations and evaluating 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 EDUCATION:

You may substitute education for specialized experience specialized experience as follows: Three (3) full academic years of progressively higher-level graduate education in Mathematics, statistics, or related fields. OR Ph. D. or equivalent doctoral degree Mathematics, statistics, or related field of study from an accredited college or university. OR Combination of education and experience: A combination of qualifying graduate education and experience equivalent to the amount required.

GS-1529-12 SPECIALIZED EXPERIENCE:

To be eligible for this position at this grade level, you must meet the following requirements. 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-11 grade level in the Federal service. Examples of specialized experience for this position may include: Experience applying knowledge of statistical theories, principles, concepts and practices that relate to experimental design, data analysis, sampling, forecasting, quality control, and operations research to understand, model and improve program operations. 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 explorations and evaluating 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.

GS-1529-13 SPECIALIZED EXPERIENCE:

To be eligible for this position at this grade level, you must meet the following requirements. 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-12 grade level in the Federal service. Examples of specialized experience for this position may include: Experience applying project management principles on a data science project. Experience planning and executing a variety of data science and/or analytics projects. 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 explorations and evaluating data science centric models. Experience working with multiple data types and formats as a part of a data science project. 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.

AND You must also meet the following requirements:

• MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have: Graduated from high school or been awarded a certificate equivalent to graduating from high school; or Completed a formal vocational training program; or Received a statement from school authorities agreeing with your preference for employment rather than continuing your education.

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

Education

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 (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions. We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).

Additional information

Suitability Requirements:

• Prior IRS Employment - Former employees will be subject to a screening of their prior conduct with the Service. The Taxpayer First Act of 2019, 26 U.S. Code 7804, prohibits the IRS from rehiring certain former employees who were removed from service.
• Tax Check - Must undergo a review of income tax verification. To check the status of your tax record go to: https://www.irs.gov/individuals/get-transcript. If you are not in compliance, you will be determined unsuitable for employment with IRS.
• Fingerprint/Criminal History Check - This position requires that the successful candidate undergo personnel vetting, which includes a background investigation and enrollment upon onboarding into "Continuous Vetting." Enrollment in Continuous Vetting will result in automated record checks being conducted throughout one's employment with Treasury. The successful candidate will also be enrolled into FBI's Rap Back service, which will allow Treasury to receive notification from the FBI of criminal matters (e.g., arrests, charges, convictions) involving enrolled individuals in near real-time.

For more information regarding your rights refer to Noncriminal Justice Applicant's Privacy Rights - FBI, FD-258 Privacy Act Statement - FBI, and SEAD-3-Reporting-U.pdf (dni.gov).

Additional Information:

Positions under this announcement are being filled using a Direct Hire Authority (DHA). In the event that a building is closed due to rent management, new hires may be placed in a local commuting location. Additional jobs may be filled from this announcement or any other source to fill these vacancies. Alternative work schedule, staggered work hours may be available.

Salary:

General Schedule (GS) Locality Pay tables may be found under Salaries & Wages. Cost-of-Living Allowances (COLA): Puerto Rico, Anchorage, Alaska, Hilo, HI, Honolulu, HI, Waiuku, HI, Hagatna, GU, Agana, GU, and U.S. Virgin Islands includes COLA. See COLA Rates 2026.

This is an open continuous announcement which will be used to fill vacancies in the locations listed as they become available for the next month contingent upon funding and space requirements. This announcement may be closed early if positions are no longer needed. Applicants must apply and/or update their applications by 11:59 pm ET at the close of the following cutoff dates to be considered: Cutoff date(s): July 20, 2026. This announcement may be amended to include additional cut-off dates within the 1-month period if needed, not later than 10 days prior to the additional cut-off date(s). Selections from this announcement may be made no later than (NLT) August 20, 2026. We are projecting a large number of vacancies be filled from this announcement. As a result, the announcement will have a cut-off date of 7/20/2026 for initial applicant consideration. This announcement may be closed early, if sufficient applicants apply to fill the anticipated vacancies. Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.