Jobs at Elder Research

The UI/UX Designer will lead UX and UI efforts for complex systems, conduct user research, develop prototypes, and produce high-fidelity designs for defense-related projects.

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.

As a Data Scientist, you will develop machine learning algorithms, analyze complex datasets, and provide actionable insights for the U.S. Intelligence Community.

The Senior Exploitation Specialist (Data Scientist) will manage databases, create scalable processes for large datasets, support intelligence missions through data analysis, and provide visualizations for operational use.

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

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

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.

Design and optimize data systems for the U.S. Intelligence Community, focusing on relational and object-oriented database management, data architecture, and cloud technologies.

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.

The Fraud Analytics SME analyzes fraud detection patterns, guides teams in detecting fraud schemes, validates analytical outputs, and supports operational reviews and discussions.

Drive advanced modeling and analytics for fraud detection and identity theft. Lead technical initiatives and manage full model lifecycle.

The Senior Data Engineer will design and maintain data pipelines and infrastructure for fraud detection analytics, ensuring data integrity and supporting testing across platforms.

The Principal Analytics Manager leads analytics initiatives focused on fraud detection, manages multidisciplinary teams, and coordinates with stakeholders to deliver actionable insights on time.

Lead data science initiatives to develop analytical solutions, mentor junior data scientists, collaborate on automation, and ensure operational reliability of models.

The Data Scientist will develop and maintain ML and NLP models, enhance data products, and support federal agency decisions using analytics.

The Senior Full-Stack Engineer will lead front-end architecture, work on Python backends, mentor engineers, and develop complex document processing systems.