Top Tech Jobs & Startup Jobs

Develop, validate, and deploy predictive and statistical models using structured and unstructured tax and financial data to detect fraud and non-compliance. Clean and wrangle large datasets, perform feature engineering, apply supervised and unsupervised techniques, and communicate results to technical and non-technical stakeholders. Collaborate with clients and cross-functional teams and support model deployment and documentation in secure government environments.

Senior Data Scientist supporting Intelligence Community operations. Build customized visualizations and analytic applications using Esri and Python, automate analytic workflows, apply AI/ML to structured and unstructured data, and clearly communicate technical results to stakeholders.

The Technical Business Analyst bridges business needs with technical solutions, conducting process analysis, managing data, facilitating collaboration, and supporting governance practices.

The Data Analyst will support data manipulation, ingest large volumes of data, create visualizations, and conduct analyses for U.S. Customs and Border Protection.

As a Data Scientist, you will analyze data, develop models, and provide actionable insights using machine learning and statistical methods. Consult on data mining and implement data-driven solutions while maintaining knowledge in emerging analytics techniques.

The Data Analyst will conduct data mining, analyses, and reporting, support client applications, and work within a data science project team.

The Data Engineer will develop secure, scalable data pipelines for IRS applications, supporting complex analytics and machine learning to combat fraud and ensure compliance. Responsibilities include pipeline engineering, troubleshooting, and collaboration with data teams to create production-ready analytics solutions.

The Data Scientist will analyze tax data, develop predictive models, and support IRS initiatives to improve compliance, fraud detection, and risk assessment in a hybrid work environment.

The Project Manager will oversee projects, manage technical teams, ensure project delivery on scope and time, and maintain client satisfaction.

As a Data Analyst, you will explore and manage large datasets, build visual dashboards, and communicate insights to stakeholders. Responsibilities include collaborating with teams, cleaning data, and applying analytical skills to address complex issues.