Summary WHAT IS DATA AND ANALYTICS (DA)-RESEARCH APPLIED ANALYTICS & STATISTICS (RAAS)? 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 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 Responsibilities 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. Responsible for the growth of data in the statistics and reporting environment by leading the certification of data sets that are available for reporting, collaborating with IRS information technology leaders on desired new technologies and techniques to create efficient processes around data extraction, loading, transformation, governance, and cataloguing for better and reduced time to insights for the business units. Combines, analyzes, and interprets large and/or complex data sets to develop organizational solutions. Identifies the methods, processes, algorithms, tools, and systems to extract and interpret findings from various structured and unstructured data sets related to the data science lifecycle. Responsible for the development of algorithms and/or tools to support data manipulation and processing as well as the use of data visualization techniques to articulate findings. Uses emerging technology, and various data sources to perform exploratory analyses on new and archival data sources. Conducts in-depth analysis of data and disseminates the results of those analyses. Identifies and/or develops innovative and effective approaches and methodologies; applies advanced operations research and data science techniques for quantitative analysis, statistical analysis, forecasting, predictive modeling, prescriptive analysis, and optimization; and validates analysis and outcomes. Conducts statistical analysis to make informed projections and recommendations. Applies professional knowledge of computer science, mathematical, statistical theories, techniques, and methods to gather, analyze, design, and construct new processes for analytical modeling, interpreting models, and/or reporting quantitative information, trends, relationships, and correlations among or within data. Advises on the potential benefits/uses of automation to improve the efficiency of program operations. Analyzes a variety of data sources to provide data- driven insights to the Data and Analytics organization to streamline processes. Utilizes an in-depth knowledge of data science techniques and methodologies such as machine learning, predictive analysis, prescriptive analysis and optimization, and other emerging analytical techniques to assist, consult, or lead others in the application of data science techniques. Defines and documents the specific analytics approaches applied in project delivery; establishing success metrics to be used in satisfying business's requirements for project outcomes; and establishing key performance indicators to be used in ongoing reporting that measure the value creation delivered by the project over time. 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 ADDTIONAL 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-timework 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. QUALIFICATION REQUIRMENTS: BASIC REQUIREMENTS All GRADES: EDUCATION: You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience. AND SPECIALIZED EXPERIENCE GRADE 14: 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-13 grade level in the Federal service. Specialized experience for this position includes experience performing all the following: Leading data science or statistical analysis initiatives by defining project scope, analytic approach, data requirements, schedules, deliverables, or success measures; coordinating work across data, program, business, or technology stakeholders; and developing findings or recommendations for program or operational decisions. Developing or applying statistical, machine learning, operations research, artificial intelligence, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, neural networks or deep learning, or exploratory data analysis. Overseeing data preparation, data quality, data governance, data certification, or analytic product delivery using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision-support products. Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform). Advising managers or senior leaders on data science findings, automation opportunities, policy or program impacts, resource implications, risks, or recommended changes to processes, procedures, or operations. Providing technical guidance, review, or mentoring to analysts or data scientists and preparing technical reports, briefings, presentations, or documentation that explain methods, assumptions, limitations, validation results, success measures, key performance indicators, or recommendations. 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): includes COLA. See COLA Rates 2026. Anchorage, Alaska Hilo, HI Honolulu, HI Wailuku, HI Puerto Rico U.S. Virgin Islands This is an open continuous announcement which will be used to fill vacancies in the locations listed as they become available for the next 6 months 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): 07/15/2026, 09/03/2026, 11/03/2026, 01/04/2027. This announcement may be amended to include additional cut-off dates within the 6-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) 01/04/2027.
