Data Scientist, Lead (AI)

Location: Fully remote, but applicants must currently reside in the United States; travel in the DMV area is expected.

Salary: USD $142,638–$228,221 per year

Company

hirify.global provides AI-powered decision intelligence solutions for national security, supply chain management, and digital identity.

What you will do

• Build and tune rule-weighted composite scoring logic from normalized risk signals.
• Define feature groupings, weights, thresholds, guardrails, and missing-data handling.
• Create traceable score explanations, reason codes, and contributing-signal summaries for adjudicator review.
• Design an architecture that can evolve from rules and weights to interpretable machine-learning models.
• Prototype and evaluate SHAP-based explanations, constrained or monotonic models, and rule-based hybrids.
• Partner with data engineering and application teams to productionize scoring, validation, monitoring, and documentation.

Requirements

• Must maintain an active Top Secret security clearance.
• Bachelor’s degree with 8–10 years of experience, master’s degree with 6–8 years, or PhD with 3–5 years; equivalent experience may substitute for a bachelor’s degree.
• 3–5 years of applied data science experience delivering scoring, ranking, or decision-support models.
• Experience with interpretable approaches, including rule-based systems, transparent composite scores, or explainability methods such as SHAP.
• Strong Python skills with scikit-learn, SQL, and standard data-science workflows.
• Ability to explain scoring logic and accuracy-versus-interpretability tradeoffs to technical and non-technical stakeholders.

Nice to have

• Experience in adjudication, compliance, fraud, risk scoring, or related domains.
• IC or Department of Defense experience.
• Experience with Neptune, Jupyter, AWS SageMaker, Lambda, and Glue.
• Explainability-first mindset, analytical rigor, collaboration, and strong documentation discipline.

Culture & Benefits

• Fully remote work arrangement with expected travel in the DMV area.
• Work focused on transparent, defensible, and auditable decision intelligence.
• Collaboration with data engineering and application teams on production-ready systems.
• Opportunity to support national security, supply chain management, and digital identity solutions.