Data Scientist / Data Analyst (OIG)

to support the U.S. International Development Finance Corporation (DFC) Office of Inspector General (OIG). This role provides advanced analytics in support of audits, evaluations, inspections, and investigative/law‑enforcement activities. The position is full‑time, on‑site in Washington, DC, with occasional ad‑hoc telework authorized by the COR.

• Receive and clarify analytic task requests from OIG stakeholders

• Define objectives, data needs, assumptions, and timelines

• Track milestones, deliverables, and risks

• Collect data from government systems and approved external sources

• Clean, normalize, validate, and transform structured and unstructured datasets

• Perform entity resolution, record linkage, and dataset integration

• Maintain documentation for reproducibility and defensibility

• Conduct risk‑based analytics, trend analysis, exception testing, and sampling support

• Prepare charts, tables, dashboards, and workpaper‑ready analytic products

• Perform financial/transactional analysis, tracing, anomaly detection, and link analysis

• Build timelines, geospatial analysis (when authorized), and investigative visualizations

• Prepare analytical summaries for case development, affidavits, subpoenas, and prosecution support

• Apply statistical methods, classification, clustering, forecasting, and anomaly detection

• Develop and validate machine learning models (when approved)

• Conduct NLP, document analytics, and graph/network analysis

• Develop dashboards for audit risk monitoring, investigative trends, hotline analytics, and oversight metrics

• Produce heat maps, link diagrams, geospatial maps, and executive briefings

• Work with law‑enforcement sensitive, procurement‑sensitive, and controlled unclassified information

• Follow all DFC OIT security and privacy requirements

• Document scripts, workflows, and model logic

• Provide training, demonstrations, and user guides

• Experience supporting a Federal Office of Inspector General, federal law enforcement, or audit organization

• Experience with:

  • investigations, hotline analysis, fraud‑risk modeling

  • transaction tracing, anomaly detection, link analysis, entity resolution, timeline analysis

  • handling sensitive, nonpublic, or law‑enforcement‑sensitive information

• Advanced degree in a relevant field

• Professional certifications such as:

  • CFE, CPA, CIA, CISA, CFF, or analytics/BI platform certifications