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Fraud Data Scientist Jobs in Reston, VA (NOW HIRING)

Elder Research

Data Scientist

Arlington, VA · On-site

As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

Elder Research

Data Scientist

Arlington, VA

As a Data Scientist, you will support the Internal Revenue Services mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Across private and public sectors, from fraud detection to cancer research, to national ...

Elder Research Inc.

Senior Data Scientist

Arlington, VA · On-site

$90 - $120/hr

As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

New

Booz Allen Hamilton

Data Scientist

Washington, DC · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Across private and public sectors, from fraud detection to cancer research, to national ...

Booz Allen Hamilton

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Booz Allen Hamilton

Data Scientist

Washington, DC · On-site

$48K - $98K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Across private and public sectors, from fraud detection to cancer research, to national ...

Booz Allen Hamilton

Data Scientist

Washington, DC · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Across private and public sectors, from fraud detection to cancer research, to national ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Booz Allen Hamilton

Data Scientist

Washington, DC · On-site

$99K - $225K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Across private and public sectors, from fraud detection to cancer research to national intelligence ...

Booz Allen Hamilton

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Across private and public sectors from fraud detection to cancer research, to national intelligence ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Across private and public sectors, from fraud detection to cancer research to national intelligence ...

Booz Allen Hamilton

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

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Showing results 1-20

All JobsFraud Data Scientist JobsFraud Data Scientist Jobs in Reston, VA

Fraud Data Scientist information

See Reston, VA salary details

$47.9K

$171.7K

$253.3K

How much do fraud data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for fraud data scientist in Reston, VA is $171,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,900.00 and $176,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the fraud data scientist position, and why are they important?

To thrive as a Fraud Data Scientist, you need strong analytical skills in statistics, machine learning, and data analysis, typically backed by a degree in data science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with SQL databases, and knowledge of fraud detection tools such as SAS, Hadoop, or relevant certifications like CFE are highly valued. Excellent problem-solving ability, communication skills, and the capacity to work collaboratively with cross-functional teams are important soft skills. These abilities are crucial for identifying and mitigating fraudulent activities while ensuring clear collaboration and actionable insights in a high-stakes financial environment.

What is a fraud data scientist?

A Fraud Data Scientist analyzes transactional and behavioral data to detect, prevent, and mitigate fraudulent activities. They use machine learning models, statistical analysis, and anomaly detection techniques to identify suspicious patterns in financial, e-commerce, or other data-heavy industries. Their role involves working with large datasets, collaborating with fraud investigators, and continuously improving fraud detection systems to minimize financial losses and risks.

What are the typical daily responsibilities of a fraud data scientist?

A Fraud Data Scientist's day often involves analyzing large datasets to detect suspicious patterns, developing and validating machine learning models to predict fraudulent activity, and collaborating with other teams such as compliance and risk management. Additionally, they may respond to real-time fraud alerts, participate in meetings to refine detection strategies, and prepare reports for stakeholders. The role combines technical analysis with ongoing learning about emerging fraud trends, making every day dynamic and intellectually challenging. Teamwork and adaptability are essential, as you'll frequently coordinate with engineers and business leaders to continually enhance fraud prevention efforts.

How much do fraud data scientists make?

Fraud data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and fraud detection tools can earn higher salaries, often exceeding $150,000.
What job categories do people searching Fraud Data Scientist jobs in Reston, VA look for? The top searched job categories for Fraud Data Scientist jobs in Reston, VA are:
What cities near Reston, VA are hiring for Fraud Data Scientist jobs? Cities near Reston, VA with the most Fraud Data Scientist job openings:
Fraud Data Scientist jobs near you
Infographic showing various Fraud Data Scientist job openings in Reston, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $171,677 per year, or $82.5 per hour.

Data Scientist

Elder Research

Arlington, VA • On-site

Full-time

Re-posted 3 days ago

Job description

Data Scientist
General Information
Requisition # 674
Locations USA-VA-Arlington
Posting Date 03/04/2026
Security Clearance Required - IRS MBI
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area.
As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts.
In this role, 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. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication.
Responsibilities include but are not limited to:
  • Prior programming experience, preferably in Python or R, including data exploration, feature engineering, model development, and writing modular, reusable, well-documented code within an iterative development process that includes peer review and collaboration
  • Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation
  • Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science-driven solutions in support of assessments, gap analyses, and actionable recommendations for IRS stakeholders
  • Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models (including audit selection, refund review, and fraud prevention initiatives) that are modular, maintainable, adaptable to evolving government and regulatory requirements, and supported by robustness, sensitivity, and significance testing to ensure defensible and explainable results
  • Apply statistical and machine learning techniques (supervised and unsupervised) to anomaly detection, fraud identification, and non-compliance risk scoring to help prioritize cases based on compliance risk, fraud indicators, and business impact
  • Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches, while demonstrating the ability to work independently in a collaborative, fast-paced environment
  • Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication, translating business and compliance needs into technical solutions with strong interpersonal, written, and verbal communication skills

Minimum Qualifications:
  • 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

Preferred Qualifications:
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)
  • Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as Databricks and AWS
  • Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities
  • Experience with containerization and environment management (e.g., venv, conda)
  • Experience operating in secure or remote government environments, including use of bash and command-line tools

Clearance Requirements:
  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:
  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situation

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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