Senior Data Scientist (AI/ML)

Location: Kearneysville, West Virginia, United States; hybrid position

Salary: $133,000–$169,000 annually

Company

hirify.global delivers IT services and technology solutions that transform how government agencies operate and serve citizens.

What you will do

• Design, build, train, and integrate advanced AI/ML models and statistical algorithms into shared data platforms.
• Develop and optimize enterprise data pipelines, automated ETL/ELT workflows, APIs, and analytical services.
• Implement data governance standards, data management policies, security controls, and reusable data products.
• Provide technical leadership and architectural guidance for secure modernization, resilience, and technical-debt reduction.
• Collaborate with cross-functional teams, port authorities, and commercial partners on data sharing and interoperability.
• Research emerging AI, machine learning, advanced analytics, and secure MLOps technologies.

Requirements

• High school education with 9+ years of experience or equivalent experience.
• Experience developing, training, and deploying enterprise machine learning models and data science solutions with Python.
• Experience building large-scale data pipelines, API frameworks, or cloud-based analytical environments.
• Knowledge of data governance, data architecture, secure data management, SQL, and big data technologies.
• DoD 8570 IAT Level II certification, such as Security+ CE, CySA+, or CCNA Security.
• Active Secret clearance required.

Nice to have

• Experience with the U.S. Coast Guard, DHS, or federal maritime mission programs.
• Familiarity with USCG Force Design 2028 or PEO C5I enterprise data environments.
• AWS Certified Data Analytics, Azure Data Scientist Associate, or Python/data science certifications.
• Experience with GIS, spatial modeling, Kubernetes, Docker, or automated AI/ML security gating.

Culture & Benefits

• Collaborative work environment focused on meaningful government IT projects.
• Flexible work environment.
• Learning and development platform with certification preparation content.
• Training, education, and certification assistance for full-time employees.
• Employee assistance program, corporate discounts, referral bonuses, internal mobility, and pet insurance.

Hiring process

• Virtual video interview with the hiring manager and/or team; camera use and photo ID presentation are required.
• Enhanced biometric ID verification and background screening, including criminal history, education, and employment verification.