Sas Developer Remote Jobs in Silver Spring, MD (NOW HIRING)

Requirements • 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 Basic Qualifications: • Master's degree, PhD preferred in Statistics, Mathematics, or a related quantitative field, with 5-8+ years of applied data science experience • Mastery of Python or R, statistical tools such as Stata, SAS and strong SQL • Expertise with ML algorithms (e.g. model selection, evaluation, feature engineering, etc.) • Expertise with application of AI to deliver insights with optimal performance, cost savings, etc. using structured, unstructured data • Expertise with data visualization tools (e.g.

Tableau, Matplotlib) • Experience processing large datasets, deploying LLMs in government cloud data platforms (e.g. Azure ADLS/Databricks/Azure ML, or equivalents) • Comparative understanding of LLMs (e.g. Claude Code, ChatGPT), and tradeoffs in terms of capabilities, cost, and performance • Excellent problem-solving skills and the ability to think critically and analytically to address complex research challenges • Exceptional verbal and written communication skills and a bias toward rigor, clarity, and defensibility over black-box modeling are essential • Familiarity with FISMA/NIST/Zero Trust security frameworks • Current Principal Data Scientist (PDS) Certification Preferred • Experience with Spark/Databricks.

• Domain exposure to antitrust, pricing, healthcare claims, fraud/forensics, or financial analysis is a plus. • Experience producing reproducible, peer-reviewed-method analyses that meet Rule 702/Daubert reliability requirements and can withstand Daubert challenges (methods, error rates, standards/controls, and appropriate bounds on conclusions) • Contribution to open-source projects or participation in relevant data science communities.