Data Scientist supporting the IRS mission to improve tax compliance through data-driven solutions and predictive modeling. Collaborate with government clients and technical teams in a hybrid work environment.
Responsibilities
Support the Internal Revenue Services mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments.
Work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions.
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.
Contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication.
Requirements
Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences
2-10+ years of experience in data science, analytics, or a related technical field
Experience using version control systems (e.g., Git) and collaborative development practices
Strong understanding of relational databases and SQL
Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone
Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges
Willingness to travel and work on-site at client locations as required by project needs.
Benefits
Competitive Salary and Benefits
Important Work / Make a Difference supporting U.S. national security.
Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract.
People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement.
Data Scientist at Walmart Connect focusing on automation and AI solutions for reporting needs. Collaborating cross - functionally to ensure strategic initiatives are executed smoothly.
Strategic analytics professional developing data - driven solutions for product strategy and business outcomes at Farmers Insurance. Collaborating with leaders to shape analytics strategy and managing the full analytics lifecycle.
Data Scientist analyzing user behavior and developing insights for Syskit’s Microsoft 365 management platform. Collaborating across teams to improve product strategy and customer engagement.
Data & Analytics Lead responsible for shaping the data function at Hive Health. Collaborating across teams to drive data - informed decision - making in healthcare.
Data Scientist supporting the U.S. Intelligence Community by developing scalable data systems and advanced algorithms. Focusing on machine learning and statistical analysis for complex challenges.
Data Scientist II at Truist performing advanced analytics and machine learning for business insights and risk minimization. Collaborating with business leaders to leverage data science strategies.
Principal Data Scientist at Navy Federal providing data science insights for compliance. Mentoring junior staff and developing AI models for mission - critical decision making.
Data Scientist developing best - in - class ML models for claims prediction at Hastings Direct. Collaborating with engineers and stakeholders to drive data - driven decisions in the insurance domain.
Environmental Data Scientist at Floyd|Snider preparing chemistry data validation and supporting data processing and analysis. Collaborating with project teams and providing creative data solutions.