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Lead Data Scientist (Artificial Intelligence/Machine Learning)Internal Revenue Service • United States
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Lead Data Scientist (Artificial Intelligence/Machine Learning)

Internal Revenue Service
  • US
    United States
  • US
    United States
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À propos

Summary
WHAT IS
INFORMATION TECHNOLOGY
?
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):
IT - Taxpayer Services and Online Accounts
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
Learn more about this agency
Duties
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The following are the duties of this position at the full working level.
Serves as a Senior Data Scientist by leading advanced analytics projects, defining objectives, coordinating deliverables, evaluating team performance, and resolving challenges to ensure project success. Manages day to-day team operations, and driven outcomes aligned with the organization's goals. Responsibilities include obtaining approvals on project documentation, conducting code and model reviews, and ensuring project delivery acceptance. Communicates findings effectively, providing insights and training on complex analytics solutions to business partners at all levels. Collaborates with senior leaders, technical teams, and non-technical staff to address policy interpretations and translate technical challenges into actionable solutions. Champions IT's digital transformation with a focus on customer-centric, data-driven initiatives, ensuring the analytics environment evolves to meet business needs. Leads efforts to certify datasets, optimize processes for data extraction, transformation, governance, and cataloguing, and accelerate time-to-insights for business decision-making. Applies advanced knowledge of computer science, mathematics, and statistical theories to construct new analytical processes, interpret models, and report quantitative trends and relationships. Leads digital data and analysis efforts to enhance customer strategies, support platform development, and improve user experiences throughout the customer lifecycle. Ensures reports, analyses, visualizations, and dashboards accurately reflect critical information for digital services. Collaborates closely with managers and executives to advance IT analytics roadmaps, delivering enhanced data capabilities that support strategic business objectives. Requirements
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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. 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. 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 closing date of this announcement.
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.
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:
Designing, developing, integrating, testing, and supporting conversational AI solutions, virtual assistants, chatbots, digital messaging platforms, voice automation, interactive voice response (IVR) platforms, or generative AI-enabled customer engagement solutions in a production environment. Developing and optimizing natural language understanding (NLU), natural language processing (NLP), speech recognition, intent classification, entity recognition, conversational workflows, or automated self-service solutions supporting customer interactions across voice and digital channels. Designing, testing, implementing, and refining prompt engineering strategies, generative AI workflows, large language model (LLM) integrations, and AI-assisted customer engagement capabilities to improve automation, containment, customer experience, and operational outcomes. Integrating conversational AI, generative AI, voice, chat, messaging, or digital engagement platforms with enterprise applications, APIs, backend systems, authentication services, customer data platforms, or knowledge management solutions. Demonstrating subject matter expert (SME)-level proficiency in at least one modern programming language such as Java or Python, including development of backend services, automation, integrations, data processing pipelines, or conversational application logic. Analyzing customer interaction data, conversation transcripts, chat sessions, operational metrics, and user behavior to identify trends, improve AI performance, evaluate model effectiveness, and enhance customer experience outcomes. Developing, querying, and analyzing large datasets using cloud-based analytics platforms and data warehouses to support AI model evaluation, operational reporting, and business decision-making. Troubleshooting and resolving complex system integration, application reliability, authentication, speech processing, conversational AI, generative AI, digital engagement, or performance issues across interconnected platforms. Applying DevSecOps, CI/CD pipelines, automated testing, version control, and agile software development practices in enterprise environments. Collaborating with business stakeholders, architects, engineers, cybersecurity personnel, data scientists, and operations teams to translate business requirements into AI-enabled technical solutions. AND
You must also meet the following requirement(s):
PERFORMANCE RATING:
Current federal employees must have at least a fully successful or equivalent performance rating to receive consideration. 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" TIME IN GRADE (TIG):
Federal employees must meet time-in-grade requirements. For positions above the GS-05,applicants must meet applicable time-in-grade requirements to be considered eligible. One year (52 weeks) at the next lower grade level is required to meet the time-in-grade requirements for the grade you are applying for. For positions at the GS-05, you cannot advance to the GS-05 if you have held a GS-02 in the past 52 weeks. There is no TIG restriction for GS-02, 03, or 04 positions. 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
Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty. 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 includes COLA. See COLA Rates 2026. Formal Development Plan -
If this position is covered by a formal development plan, pay retention will be offered where applicable based on law and regulation. 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).
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.
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  • United States

Compétences linguistiques

  • English
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