Top Tech Jobs & Startup Jobs

Lead quantitative analysis and modeling of large real-world health datasets to estimate disease prevalence and incidence. Design statistical and machine learning models, build data pipelines and dashboards, ensure reproducibility and data quality, collaborate with public health experts, and prepare scientific reports and presentations.

Lead fraud analytics workstreams: develop, test, and maintain detection logic, models, and indicators; coordinate data ingestion and ETL; support investigations and reporting; provide technical leadership, stakeholder briefings, and platform support while working onsite with government personnel.

Support fraud analytics operations and reporting for a multidisciplinary team: prepare technical documents, review fraud-related data to identify trends, support data preparation and dashboards, track tasks, coordinate stakeholders, and deliver recurring analytics and operational reporting while working onsite at the client location.

Design, build, and maintain Palantir Foundry data pipelines, Ontology models, and user-facing applications. Integrate cloud and enterprise data, implement data quality/governance, support analytics/AI use cases, and collaborate with stakeholders through Agile development practices. Prepare technical documentation and support modernization and deployment activities.

Support fraud analytics by preparing and validating data, analyzing structured and unstructured datasets to identify fraud indicators, and producing reports, dashboards, and technical documentation. Coordinate with technical teams and stakeholders, contribute to detection logic, data quality activities, and recurring analytics tasks while working onsite at the client location.

Perform epidemiologic analyses on surveillance, clinical, claims, lab, and survey data; develop analysis plans, statistical methods, and technical reports; build dashboards and automated analytic workflows; design data quality rules and surveillance indicators; translate findings for diverse stakeholders; support public health reporting, manuscripts, and dissemination; mentor junior staff and provide technical assistance.

Develops and maintains dashboards, reports, and visualizations; analyzes multi-source data to identify trends and actionable insights; translates stakeholder needs into analytical solutions; supports recurring and ad hoc reporting; presents findings to technical and non-technical audiences; and collaborates with federal client stakeholders to improve analytics workflows and decision support.

Design, build, and maintain enterprise Power BI dashboards, data models, and ETL workflows. Perform statistical and geospatial analyses, ensure data quality and governance, translate stakeholder needs into KPIs and reports, mentor junior analysts, and present insights to technical and non-technical audiences to support public health and government programs.

Support fraud analytics by preparing and validating data, performing statistical and pattern analysis, documenting methods, and producing reports and dashboards. Coordinate with technical teams and stakeholders to support recurring and ad hoc fraud detection and investigative tasks.

Build, validate, and deploy statistical and machine learning models for Navy logistics, maintenance, and readiness. Perform EDA, create dashboards (Qlik), operationalize models with engineers, monitor performance, and document methodologies to support defense clients.