Summary WHAT IS DATA AND ANALYTICS (DAO)-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. Identifies, analyzes data that's collected, devises methods, develop processes, tools, systems, and machine learning algorithms to instrument of the agency's tax administration. This process transforms raw data into program models and actionable business intelligence. Extracts and interprets findings from various structured and unstructured data sets related to the data science lifecycle. The incumbent is 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 for improvements. Collaborates 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 for methodical data analysis projects and trends throughout the enterprise. Develops and implements customer strategy, design of products and services, and support platform development. The incumbent focuses on analyzing and supporting the development of enhanced user experiences and engagement through the entire lifecycle of customers' interactions. Analyzes a variety of data sources to provide data-driven insights to the business unit to streamline processes. 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. 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 REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below: 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: You may qualify with an equivalent combination of qualifying experience and education with at least 30 semester hours related to Mathematics, statistics, computer science, data science or 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. EDUCATION/SPECIALIZED EXPERIENCE FOR GS-11: In addition to meeting basic requirements, to be eligible for this position, you must have at least one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal Service. Specialized experience for this position includes: Applying descriptive or inferential statistical methods to analyze data, identify trends or patterns, evaluate results, and develop findings, reports, or recommendations; Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis; Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform); Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings; and Creating reports, dashboards, visualizations, written summaries, or presentations to communicate statistical or technical findings to technical or non-technical audiences. OR EDUCATION: You may substitute education for specialized experience as follows: A Ph.D. or equivalent doctoral degree as described in the basic requirements in mathematics, statistics, computer science, data science or 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 Three (3) full academic years of progressively higher-level graduate education leading to a PH.D or equivalent doctoral degree in mathematics, statistics, computer science, data science or 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: You may qualify with an equivalent combination of qualifying experience and education. SPECIALIZED EXPERIENCE GRADE 12: In addition to the basic requirements above, to be eligible for this position at the GS-12 level, 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. Specialized experience for this position includes experience performing all the following: Planning and carrying out data analysis assignments by applying descriptive or inferential statistical methods to analyze data from multiple sources, validate results, identify trends or patterns, and develop findings, reports, or recommendations. Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, validate, analyze, visualize, or document structured or unstructured data for data science projects. Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform). Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, prescriptive analysis, or exploratory data analysis, to evaluate data, models, programs, or operations and make projections or recommendations. Creating and presenting reports, dashboards, visualizations, written summaries, or presentations that explain statistical or technical methods, findings, limitations, or recommendations to managers, stakeholders, customers, or project teams. SPECIALIZED EXPERIENCE GRADE 13: In addition to the basic requirements above, to be eligible for this position at the GS-13 level, 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. Specialized experience for this position includes experience performing all the following: Independently planning and carrying out data science or statistical analysis projects by defining analytic questions, selecting data sources or methods, analyzing structured or unstructured data, validating results, and developing findings or recommendations. Developing or applying statistical, machine learning, operations research, 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, or exploratory data analysis. Using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to prepare, transform, document, analyze, and visualize data for data science projects. Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform). Documenting analytic approaches, assumptions, limitations, validation results, success measures, or key performance indicators, and presenting technical findings or recommendations to managers, stakeholders, customers, or cross-functional teams. 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 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 07/17/2026 for initial applicant consideration. This announcement may be closed early, if sufficient applicants apply to fill the anticipated vacancies.
