Data Scientist

Summary

IT Specialist (Data Scientist) positions are being filled through the Office of Personnel Management's delegated Direct Hire Authority, open to all U.S. citizens. Selections made under this bulletin will be processed as new appointments to the civil service. Current civil service employees would, therefore, be given new appointments to the civil service. Under the provisions of the Direct Hire Authority, Veterans Preference and the "Rule of Many" do not apply.

This announcement serves as public notice. Applications submitted be placed into a pool and will remain on file for selection as positions become available. Vacancies may be filled for up to 6 months after the closing date of this announcement. Applicants may not receive notifications of referral status until the full 6-month eligibility period has elapsed. Positions filled with applications from this pool will be placed into positions where artificial intelligence duties occupy the majority of the work performed.

Resumes exceeding two pages in length will not be considered, please visit the new resume guidance for more information. Duties:
Architect, develop, and maintain advanced analytics solutions using Python, R, and SQL on enterprise data platforms. Design and implement machine learning models, including generative AI and agentic AI solutions, to support business objectives. Clean, transform, and manage large datasets from diverse sources, ensuring data integrity and reliability. Optimize SQL queries and database operations for efficient data access and processing. Develop, fine‑tune, and deploy AI models (such as generative and large language models) and agentic AI systems for automation, content generation, and decision support.

Visualize data and communicate findings through dashboards, reports, and presentations using tools such as matplotlib, ggplot2, and Power BI. Collaborate with business analysts, IT professionals, and stakeholders to deliver innovative, data‑driven solutions. Prepare and maintain technical documentation, including data dictionaries, model specifications, and user guides. Participate in code reviews and uphold best practices for quality, reproducibility, and security. Support data validation, testing, deployment, and post‑implementation activities in a fast‑paced environment.

READ ALL SECTIONS OF THIS ANNOUNCEMENT IN ITS ENTIRETY. THIS INFORMATION IS CRUCIAL TO SUBMITTING A SUCCESSFUL APPLICATION. Applicants must qualify for the series and grade of the posted position. Experience must be IT related; the experience may be demonstrated by paid or unpaid experience and/or completion of specific, intensive training (for example, IT certification), as appropriate. Your resume must provide sufficient experience and/or education, knowledge, skills, abilities, and proficiency of any required competencies to perform the specific position for which you are applying.

To qualify for the 2210 IT Specialist series, the applicant must demonstrate the following competencies:

• Attention to Detail – Is thorough when performing work and conscientious about attending to detail.
• Customer Service – Works with clients and customers (that is, any individuals who use or receive the services or products that your work unit produces, including the general public, individuals who work in the agency, other agencies, or organizations outside the Government) to assess their needs, provide information or assistance, resolve their problems, or satisfy their expectations; know about available products and services;
  
  and is committed to providing quality products and services.
• Oral Communication – Expresses information (for example, ideas or facts) to individuals or groups effectively, taking into account the audience and nature of the information (for example, technical, sensitive, controversial); makes clear and convincing oral presentations; listens to others, attends to nonverbal cues, and responds appropriately.
• Problem Solving – Identifies problems; determines accuracy and relevance of information; uses sound judgment to generate and evaluate alternatives, and to make recommendations.

Minimum Qualifications:

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