Senior Data Scientist

Leidos is a Fortune 500 technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges. The Senior Data Scientist will work closely with client stakeholders to support economic analysis through advanced statistics and data science techniques, utilizing a strong background in machine learning and big data processing.

Responsibilities:

• Partner with stakeholders to scope questions and assumptions, support solution design, and facilitate project execution
• Design and implement robust data ingestion, storage, integration, processing, retrieval, and management strategies for research datasets
• Build transparent, reproducible pipelines and analysis environments in cloud infrastructures
• Produce crisp exhibits and memos that explain methods, limitations, and uncertainty
• Facilitate and execute data-driven research by applying sophisticated statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science
• Create compelling data visualizations and reports that convey complex research findings in a clear and accessible manner to both technical and non-technical stakeholders
• Support defensible analytics and econometric/causal inference workstreams, translating ambiguous business or legal questions into testable hypotheses and clear, client-ready findings
• Design and execute rigorous studies (e.g., difference-in-differences, panel models with fixed/random effects, instrumental variables/2SLS, time series/forecasting, etc.) to turn multi-source datasets into documented, auditable results
• Mentor teammates on best practices
• Stay updated on the latest academic research and industry advancements in data science, AI, and information systems, and apply relevant findings to ongoing projects