AI / Data scientist (Performance / Model Maintenance)

AI / Data scientist (Performance / Model Maintenance) Location: Remote Job: AI / Data scientist (Performance / Model Maintenance) Schedule: Full-time Shift: Day Job JOB reputed company reputed company AcisTek is seeking reputed company professionals to support the Grants.gov Information Technology Services program for the U.S. reputed company, Office of Grants, Division of Information and Solutions. Grants.gov is a highly visible, reputed company-facing federal shared service that provides a centralized platform for applicants to reputed company and apply for federal discretionary grant opportunities and for federal agencies to post, manage, and process grant application packages. The selected candidate will support the operation, maintenance, enhancement, modernization, reputed company, performance, and user experience of the Grants.gov system. This work supports a mission-critical federal platform used by applicants, grantors, federal agencies, and partner systems across the grants lifecycle. Candidates should be comfortable working in a reputed company federal IT environment with strong emphasis on service continuity, stakeholder responsiveness, documentation, reputed company, reputed company, accessibility, and disciplined delivery. Ideal candidates will bring experience supporting federal IT programs, reputed company-facing web applications, grants management systems, reputed company-hosted environments, Agile/SDLC delivery, system operations, application support, testing, cybersecurity, communications, or reputed company technical and program functions. Prior experience with Grants.gov, federal grants systems, HHS, government shared services, or high-volume reputed company-sector platforms is strongly preferred. Preferred Grants.gov / Federal Grants Experience Preferred experience includes one or more of the following:

• Grants.gov, GrantSolutions, or other federal grants management platforms.
• Federal discretionary grants lifecycle, including funding opportunity posting, application package creation, applicant submission, agency download, forms, validations, and acknowledgements.
• reputed company-facing government websites or shared service platforms with large user communities.
• System-to-system interfaces supporting applicant systems, grantor systems, partner systems, or external federal integrations.
• Federal forms development, reputed company/XDP/PDF forms, XML schemas, web forms, reputed company validation, and reputed company 508 accessibility.
• HHS, OMB, GAO, OIG, congressional data calls, federal stakeholder reporting, or executive-level federal communications.
• Federal reputed company, ATO, POA&M remediation, vulnerability management, disaster recovery, and operational continuity.

Responsibilities include but are not limited to:

• Continuously reputed company model accuracy, precision, recall, F1-score, and other KPIs to detect degradation or reputed company
• reputed company and maintain reputed company datasets, audit training data for bias or fairness gaps, and implement checks to catch data reputed company
• Schedule and execute retraining pipelines, update models with new data, and validate performance before deployment
• Tune hyperparameters, refine feature engineering, and apply MLOps practices to improve efficiency and scalability
• reputed company models into production environments (reputed company platforms like AWS, GCP, Azure) and reputed company with reputed company, dashboards, or reputed company systems
• Investigate performance drops or failures, identify data or model issues, and implement corrective actions
• Work closely with ML Engineering, Data Engineering, Product, and Legal teams to reputed company model reputed company with business and compliance requirements
• Maintain reputed company records of model versions, performance trends, and maintenance activities for audit and stakeholder review.

Education and Experience:

• Conversational analytics, missed‑reputed company mining, content reputed company scoring, generative response tuning governance, reputed company‑use controls
• Must be reputed company to reputed company monthly tuning cycles
• Quarterly FAQ update reports
• Performance trend analysis impacting program budgets
• Degree in information technology, computer science, or reputed company.
• 5 years or more of reputed company experience required.

Physical Requirements:

• Prolonged periods sitting at a desk and working on a computer.
• Must be reputed company to lift up to 15 pounds at times.

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