Job Listing
Lead Data Scientist (Artificial Intelligence/Machine Learning)
Internal Revenue Service · Posted 94 days ago
About the Role
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 the 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
What You'll Do
- →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.
- →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.
- →Participates in defining project objectives for advanced analytics, supervised and unsupervised machine learning (ML), and AI solutions.
- →Collaborates with business units to gather requirements, establish metrics, and outline expected outcomes.
- →Develops innovative approaches and methodologies, applying advanced operations research and data science techniques such as statistical analysis, forecasting, predictive modeling, prescriptive analysis, and optimization.
- →Validates methodologies and outcomes to ensure accuracy and alignment with objectives.
- →Identifies and implements methods, processes, algorithms, tools, and systems to extract insights from structured and unstructured data sets across the data science lifecycle.
Requirements
- ✓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.
Personality Fit
Job ID: a802bdf1-68e2-4051-a8bf-c54a1b14db73
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