Supervisory Data Scientist

Summary

WHAT IS HUMAN CAPITAL OFFICE? 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 following area(s): HCO - Strategy, Data and Optimization - Strategy, Data, & Optimization/ Data Management Office. Remain in POD - The vacancy will be filled at the selectee's official permanent position of record, post-of-duty (POD). REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Duties

General Manager Duties: As a Front Line Manager, you will: Plan work to be accomplished by subordinates, sets and adjusts short-term priorities and prepares schedules for completion of work. Assign work to subordinates based on priorities, selective consideration of the difficulty and requirements of assignments, and the capabilities of employees. Evaluate work performance of subordinates and makes recommendations for outstanding performance recognition and/or disciplinary action. Give advice, counsel or instruction to employees on work and administrative matters. Interview candidates for positions within the organization/unit and recommend appointment, promotion or reassignment to such positions. Hear and resolve complaints from employees, refer group grievances and/or more serious unresolved complaints as appropriate. Effect minor disciplinary measures, such as warnings and reprimands, recommend other actions in more serious cases. Identify developmental and training needs of employees, providing or arranging for needed development and training. Initiate ways to improve production, work processes and/or to increase the quality of the work directed. The following are the job specific duties of this position. You will have the opportunity to learn to perform these duties and receive training to help you grow in this position. Supervises a staff of Data Scientists and other professional analytic and technical personnel responsible for planning, coordinating, directing, and conducting data science, data engineering, and analytics projects and studies of significant importance to HCO and the IRS, including the technical work that underlies the office's data warehouse, data delivery systems, and human capital analytic gateways. Fosters development of the team's technical programs and provides briefings to senior leaders, operating officials, and supervisors that explain the team's analytic capabilities, data products, and technical roadmap, ensuring program development and implementation remain consistent with the office's corporate mission, vision, and goals. Identifies areas where current analytics tools, platforms, data governance practices, or program policies are lacking, insufficient, or in conflict with other existing policies or technical standards. Prepares technical guidance, data governance and cataloguing standards, Internal Revenue Manual (IRM) issuances, and other written guidelines governing the conduct of data science work. Serves as a key catalyst in the adoption and implementation of new analytic methods, tools, and policy proposals. Organizes the work of the team, including reviewing incoming requests for analysis; studying technical requirements; determining priorities; planning and distributing project and model-development assignments; and personally, or through staff, coordinating activities to ensure steady workflow, sound technical practices, compliance with deadlines, and overall efficiency of operations. STANDARD POSITION DESCRIPTIONS (SPD): PD26533 Visit the IRS SPD Library to access the position descriptions. Requirements

Probationary Period - A person who is required to go through a probationary period and then is transferred, promoted, demoted, or reassigned before he or she completes such period is required to complete the remainder of the probationary period in the new position. Supervisory Probationary Period - Subject to a 1-year supervisory or managerial probationary period (unless already completed). Government Credit Card - Obtain and use a Government-issued charge card for business-related travel. ADDITIONAL REQUIREMENTS SHOWN IN QUALIFICATIONS SECTION 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 closing date of this announcement. BASIC REQUIREMENTS All GRADES: A 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 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 IR-04: 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 next lower level within the payband or GS grade in the normal line of progression in the Federal service that demonstrates the required managerial skills and technical competence required to perform the job. To be qualifying for this position your experience must include: Experience applying statistics, data model engineering, and programming languages (e.g., R, Python, SQL, DAX, C#/C++), sufficient to review or instruct others in the use of integrated development environments and tools (e.g., Microsoft Azure Cloud, RStudio, Microsoft Visual Studio, Microsoft Power BI, Tableau, IBM Cognos) for data science work. Experience utilizing computer programs, cloud platforms, and data science tools to evaluate technical work and improve decision-making and business results, and investigating, developing, and analyzing data science and data engineering research using human capital data impacting broad sectors of HCO. Experience leading analytics projects that included artificial intelligence (AI), machine learning (ML), deep learning (DL), or natural language processing (NLP), applying the technical procedures for solution design, implementation, and deployment; planning, directing, and evaluating the technical work of staff. Experience applying communicative techniques to facilitate presentations including storytelling with data, providing technical feedback to all levels of management, and provide guidance and direction to employees. AND You must also meet the following requirement(s): TIME AFTER COMPETITIVE APPOINTMENT (TACA): By the closing date (or if this is an open continuous announcement, by the cut-off date) specified in this job announcement, current civilian employees must have completed at least 90 days of federal civilian service since their latest non-temporary appointment from a competitive referral certificate, known as time after competitive appointment. For this requirement, a competitive appointment is one where you applied to and were appointed from an announcement open to "All US Citizens". For more information on qualifications please refer to OPM's Qualifications Standards. Go to Understanding the IRS Paybands for GS/IR conversion.

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). How You Will Be Evaluated

Your qualifications will be evaluated based on your application materials (e.g., resume, supporting documents), your responses on the application questionnaire, and your responses to all assessments required for this position. Applicants who disqualify themselves will not be evaluated further. You will be assessed on the following competencies (knowledge, skills, abilities, and other characteristics): Accountability Customer Service Decisiveness Flexibility Interpersonal Skills Problem Solving Resilience Overstating your qualifications and/or experience in your application materials or application questionnaire may result in your removal from consideration. Cheating on an assessment may also result in your removal from consideration. Rating: Your application will be evaluated in accordance with the Service's Merit Promotion Plan. A quality group rating will be used to rank and select eligible candidates. If qualified, you will be assigned to one of three quality level groups, Superior/Best Qualified, Highly Qualified and Qualified. Referral: Eligible applicants rated in the highest quality group, 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. Performance Appraisal and Awards - Will not be used in determining your overall rating. Any performance appraisal/evaluation and award documentation you provide will be forwarded to the selecting official. The selecting official will review this documentation and give it due weight consideration during the overall selection process. IRS employees may obtain their most recent awards listing at https://persinfo.web.irs.gov/. If you are a displaced or surplus Federal employee (eligible for the Career Transition Assistance Plan (CTAP), you must receive a rating of Highly Qualified or better to be rated as "well qualified" to receive special selection priority. Benefits

As a current employee, you know the great benefits we offer. Should you have any questions about benefits, please contact the Employee Resource Center (ERC) at 1-866-743-5748 option #1 for ERC. Other Information

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: IRS (IR) Pay Band Locality Pay tables may be found under 2026 - IR Salary Tables.