Lead Data Science Innovation at Leidos FP&A

Join Leidos as the Data Science Lead for FP&A in Reston, VA, driving transformative AI solutions at the intersection of finance, technology, and operations. Lead a high-performing Financial Insights & AI Solutions team, delivering predictive models, decision intelligence, and automation that power mission-critical business outcomes.

Core Responsibilities

• Model Development: Oversee advanced predictive analytics, staying ahead with AI/ML advancements for decision intelligence, predictive analysis, and operations automation.
• Delivery & Resource Management: Partner with directors to align tasking, monitor progress, risks, and collaborate across data scientists, analysts, and finance experts.
• Roadmap Execution: Prioritize F&BO Analytics & AI initiatives, balancing short-term needs with long-term capabilities alongside the Enterprise Transformation Office.
• Operating Model & Change: Support OCM, drive adoption through stakeholder engagement, and enforce CoE governance and best practices.
• Stakeholder Leadership: Translate complex insights into actionable recommendations, delivering briefings on status, capacity, risks, and results to executives.

Basic Qualifications

• Bachelor’s in quantitative field + 8+ years experience.
• Deep proficiency in Python/R and libraries like pandas, scikit-learn, TensorFlow, PyTorch.

Preferred Qualifications

• Leidos financial data knowledge.
• Cloud platforms (AWS SageMaker, Azure ML).
• Visualization tools (Tableau, Power BI).
• Generative AI/LLM expertise.

At Leidos, we outthink and outpace the status quo. This full-time role offers a disclosed pay range of $92,300 - $166,850 USD, based on experience. U.S. citizens only; position open through at least 3 days post-January 20, 2026 posting.