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Support fraud analytics operations by performing data review, cleanup, basic analysis, documentation, reporting, and project support. Prepare meeting notes, trackers, briefings, and follow established procedures while coordinating with team members to ensure timely delivery.

Supports federal financial management modernization by assessing systems and processes, documenting inventories and data flows, analyzing total costs and capability gaps, developing requirements and roadmaps, preparing governance materials, tracking risks and metrics, and creating procedures, training, and knowledge-transfer documentation.

Lead AI and data consulting engagements for energy providers: drive business development, design and deliver AI/data strategies and solutions, lead cross-functional teams, and apply energy industry expertise to create measurable outcomes.

Design, develop, and maintain Power BI dashboards and reports; build data models, DAX measures, and Power Query ETL; perform statistical and geospatial analyses; validate and monitor data quality; collaborate with stakeholders to define KPIs; document solutions and present analytical insights to technical and non-technical audiences to support public health and program decision-making.

Lead and coordinate advanced fraud analytics for cybersecurity monitoring: develop predictive models, forensic analyses, detection logic, and data integrations; support incident response, present findings, and mentor junior analysts while working onsite.

Support fraud analytics operations and reporting by collecting and tracking inputs, preparing status updates, maintaining project documentation, performing basic data review and quality checks, coordinating stakeholders, and assisting with analysis to identify trends and follow-up needs while working onsite with multidisciplinary teams.

Lead HCM data and technology transformation as senior advisor and workstream leader. Own data strategy, migration, governance, architecture, integration, testing, security, and technical readiness. Manage multidisciplinary teams, ensure deployment readiness and operational transition, advise executives, establish governance, and support business development and practice growth for large-scale federal or public-sector HCM modernization programs.

Design, build, and operate Palantir Foundry data solutions for DoD financial and operational analytics. Develop end-to-end pipelines, transforms, and curated datasets; implement CI/CD and version control; ensure data quality, lineage, auditability, and compliance in secure AWS/Azure environments; troubleshoot production issues; and document designs to support accreditation and mission analytics.

As a Data Scientist, you will perform ETL/data cleaning, develop visualizations, build predictive models, and support AI solution implementation.

Lead fraud analytics strategy and technical delivery: design detection methodologies and predictive models, analyze complex datasets for fraud and threats, provide technical leadership and mentorship, integrate analytics with platforms, support data ingestion and ETL, and present executive briefings while working onsite full time.