Senior Data Scientist (AI)

Location: Bethesda, MD, United States. The role supports a Federal initiative and requires U.S. citizenship and the ability to obtain and maintain Top Secret eligibility.

Company

hirify.global is a consulting and information technology solutions provider delivering software, systems engineering, information management, analytics, visualization, and management consulting services to public sector organizations.

What you will do

• Design, develop, and maintain data pipelines and ETL/ELT workflows for machine learning, NLP, information retrieval, and advanced analytics.
• Prepare, transform, curate, and validate structured and unstructured grants and financial data for AI/ML applications.
• Build features, process documents, generate embeddings, and prepare datasets for search, RAG, visualization, and AI-assisted decision support.
• Implement data quality, validation, provenance, lineage, versioning, metadata, and source-traceability controls.
• Troubleshoot and optimize data integrations and processing workflows while collaborating with data engineering, data science, software engineering, and AI/ML teams.
• Document data architectures, schemas, transformations, dependencies, embeddings, and operational procedures for secure Federal environments.

Requirements

• Experience building, integrating, and operating data pipelines for machine learning, NLP, information retrieval, or advanced analytics.
• Hands-on experience with feature engineering, document processing, embeddings, curated datasets, reproducible workflows, and structured and unstructured data.
• Strong proficiency in Python and SQL.
• Experience implementing data quality controls, validation, provenance, metadata, versioning, lineage, and source traceability.
• Strong technical communication, problem-solving, documentation, and cross-functional collaboration skills.
• U.S. citizenship and ability to obtain and maintain Top Secret eligibility required; active Top Secret clearance highly preferred.

Nice to have

• Experience with Federal financial, grants, budget, payment, award oversight, or financial reporting data.
• Experience with secure Federal, on-premises, cloud, or hybrid environments.
• Experience with Linux, PostgreSQL, Microsoft SQL Server, Java, .NET, Jenkins, CI/CD, Azure DevOps, Kubernetes, or Rancher.
• Familiarity with open-source AI/ML models, RAG, vector databases, semantic search, embeddings pipelines, and Federal data governance requirements.

Culture & Benefits

• Work with multidisciplinary professionals supporting health, civilian, and national security missions.
• Contribute to a secure, scalable platform that supports examiner search, review, monitoring, and decision support.
• Employer-paid health care.
• Training and development funds.
• 401(k) match and opportunities for bonuses.