Senior Data Scientist - Public Trust Clearance Required - REMOTE Technology Systems

About the role

Remote Senior Data Scientist is needed for a contract opportunity onsite with SOC's clientContract Duration: 6 Months, possible extension and/or FTEClearance: Public TrustJob DescriptionOur is seeking a Senior Data Scientist who will work closely with client stakeholders to support economic analysis of national importance through application of advanced statistics and data science techniques and technologies. In this position, you will utilize your strong background in statistics, machine learning, generative AI, visualization, economic analysis, and big data processing to plan and execute projects to meet business client data needs.RequirementsPartner with stakeholders to scope questions and assumptions, support solution design, and facilitate project executionDesign and implement robust data ingestion, storage, integration, processing, retrieval, and management strategies for research datasetsBuild transparent, reproducible pipelines and analysis environments in cloud infrastructuresProduce crisp exhibits and memos that explain methods, limitations, and uncertaintyFacilitate and execute data-driven research by applying sophisticated statistical, machine learning, and computational methods to analyze complex datasets related to computer and information scienceCreate compelling data visualizations and reports that convey complex research findings in a clear and accessible manner to both technical and non-technical stakeholdersSupport defensible analytics and econometric/causal inference workstreams, translating ambiguous business or legal questions into testable hypotheses and clear, client-ready findingsDesign 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 resultsMentor teammates on best practicesStay updated on the latest academic research and industry advancements in data science, AI, and i

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