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Job description
Elder Research seeks a Data Scientist to support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification. The role involves working with government clients, program managers, and technical teams to design analytical approaches and deliver data-driven solutions.
As a Data Scientist, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets.
This role requires a strong analytical mindset, experience with data science tools and techniques, and the ability to work independently in a collaborative environment. You will have opportunities to work on complex mathematical and statistical challenges and contribute to the development of data science solutions that inform enforcement, audit prioritization, and fraud prevention efforts.
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Company
Tech, Software & IT Services • Corporate Services
Elder Research, a MANTECH company, is a leading provider of applied AI and machine learning solutions for large organizations and government agencies. For over three decades, we’ve focused on delivering impactful results by solving complex data challenges across data science, engineering, and strategy. Our core services include predictive analytics, text mining, fraud and threat detection, and customer segmentation, all supported by robust model construction and data science expertise. We differentiate ourselves through a results-oriented approach, ensuring projects deliver tangible value and lasting adoption. Elder Research not only implements advanced analytical models but also provides comprehensive training programs to empower clients and build internal capabilities. We help organizations transform data into actionable insights, driving improved decision-making and measurable business outcomes.