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Remote Data Scientist Fraud Jobs (NOW HIRING)

Rebellion Defenses

Remote Data Scientist

Jackson, MS · On-site +1

Proven experience in data science or a related field. * Proficiency in programming languages such ... Strong communication skills and the ability to work collaboratively in a remote environment. Salary ...

GD Resources LLC

Data Scientist - Remote Role

Develop fraud detection algorithms using statistical modeling and predictive analytics. * Perform exploratory data analysis, feature engineering, and model optimization. * Conduct large-scale data ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0241357 Location: Alexandria,VA,US Share job via: Share Data ... 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

Remote Work: Hybrid Job Number: R0242719 Location: Alexandria,VA,US Share job via: Share Data ... 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

Remote Work: Hybrid Job Number: R0241528 Location: Alexandria,VA,US Share job via: Share Data ... 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

Remote Work: No Job Number: R0236797 Location: McLean,VA,US Share job via: Share Data Scientist The ... 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

Remote Work: No Job Number: R0229815 Location: McLean,VA,US Share job via: Share Data Scientist The ... 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

Remote Work: No Job Number: R0229817 Location: McLean,VA,US Share job via: Share Data Scientist The ... 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

Remote Work: No Job Number: R0245271 Location: Washington,DC,US Share job via: Share Data Scientist ... Across private and public sectors from fraud detection to cancer research, to national intelligence ...

Booz Allen Hamilton, Inc.

Data Scientist

Dayton, OH · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0244150 Location: Dayton,OH,US Share job via: Share Data Scientist The ... 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

$99K - $225K/yr

Remote Work: No Job Number: R0243614 Location: Washington,DC,US Share job via: Share Data Scientist ... Across private and public sectors, from fraud detection to cancer research to national intelligence ...

Booz Allen Hamilton, Inc.

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0242661 Location: Langley AFB,VA,US Share job via: Share Data ... 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

$99K - $225K/yr

Remote Work: No Job Number: R0241418 Location: Alexandria,VA,US Share job via: Share Data Scientist ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

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Remote Data Scientist Fraud information

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$37.5K

$122.7K

$196.5K

How much do remote data scientist fraud jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote data scientist fraud in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist in Fraud Detection, and why are they important?

To thrive as a Remote Data Scientist in Fraud Detection, you need strong analytical skills, a solid background in statistics or computer science, and experience with machine learning, often supported by an advanced degree. Familiarity with tools such as Python, R, SQL, and fraud detection platforms like SAS or Hadoop, as well as knowledge of data visualization and cloud technologies, is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting complex data and collaborating remotely across teams. These skills ensure accurate fraud identification, efficient risk mitigation, and effective cross-functional teamwork in dynamic and distributed environments.

What does a Remote Data Scientist Fraud do?

A Remote Data Scientist Fraud specializes in detecting and preventing fraudulent activities using data analysis and machine learning techniques. They work from a remote location to gather, analyze, and interpret large datasets to identify suspicious patterns and anomalies. Their role often involves building predictive models, collaborating with engineering and cybersecurity teams, and continuously improving fraud detection systems. By leveraging statistical tools and algorithms, they help organizations minimize financial losses and enhance security.

How does a Remote Data Scientist specializing in fraud detection typically collaborate with cross-functional teams?

As a Remote Data Scientist focused on fraud detection, you'll regularly collaborate with engineers, product managers, and risk analysts to design and implement effective fraud prevention solutions. Communication is often facilitated through virtual meetings, collaborative platforms, and shared documentation. You'll be expected to explain complex models and analytical findings in clear, actionable terms to both technical and non-technical stakeholders, ensuring everyone understands the impact of your work. Strong teamwork and proactive updates are essential for keeping projects aligned and ensuring the solutions stay relevant to evolving fraud trends.
More about Remote Data Scientist Fraud jobs
What cities are hiring for Remote Data Scientist Fraud jobs? Cities with the most Remote Data Scientist Fraud job openings:
What states have the most Remote Data Scientist Fraud jobs? States with the most job openings for Remote Data Scientist Fraud jobs include:
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Remote Data Scientist Fraud jobs near you
Infographic showing various Remote Data Scientist Fraud job openings in the United States as of July 2026, with employment types broken down into 6% Internship, 88% Full Time, and 6% Part Time. Highlights an 100% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Scientist -- Fraud Analytics

Senior Data Scientist -- Fraud Analytics

Info Gain Consulting

Mclean, VA • On-site, Remote

Full-time

Posted 5 days ago

Job description

Location: Remote / Telework (U.S. based) · Occasional on-site collaboration as requested Job Type: Full-time Clearance: Must be able to obtain and maintain a Public Trust background investigation Citizenship: U.S. Citizenship requiredAbout the RoleWe are hiring two Senior Data Scientists to support advanced fraud analytics for a federal Office of Inspector General (OIG). You will design and deploy machine learning models that detect fraud, improper payments, and non-compliance across government programs — work that directly supports real audits and criminal investigations.
This is high-impact, mission-driven work. You will partner closely with criminal investigators and data engineers to turn large, messy datasets into actionable case leads, predictive models, and clear visualizations for both technical teams and executive leadership.What You’ll Do
  • Design, develop, and deploy advanced statistical and machine learning models (supervised and unsupervised) to identify fraud, improper payments, and non-compliance
  • Perform data quality analysis on source tables to surface abnormalities and inconsistencies
  • Build and refine repeatable processes for combining and analyzing large relational, structured, and unstructured datasets
  • Develop and test predictive models using regression, Bayesian, clustering, and ensemble methods; tune models for best fit
  • Collaborate with criminal investigators to shape analytic strategy, adapt to shifting case needs, and handle protected information in line with federal rules (e.g., Rule 6(e))
  • Integrate and scale NLP methods — OCR, semantic similarity, and large language models — to parse and analyze large text corpora
  • Develop case leads for investigations based on model outcomes
  • Build dashboards and visualizations (network graphs, interactive maps, plots) that communicate methodology and results
  • Document all methodology, test models, and production models in compliance with evidentiary requirements
  • Deliver findings in multiple formats — investigative data summaries and executive briefings
  • Create automation using tools such as Python, SQL, SharePoint, Excel, and Power BI
Required Qualifications
  • Master’s, Ph.D., or doctorate-level equivalent degree in data science, machine learning, computer science, mathematics, or a related field; OR 10 years of applied work experience in those fields
  • 5+ years of hands-on experience in each of:
    • Designing, implementing, and maintaining advanced AI systems and predictive models (supervised and unsupervised)
    • Developing analytic rules and models using leading-edge fraud analytics tools and best practices
    • Building regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables
  • 3+ years of hands-on experience in each of:
    • Providing data support for criminal investigations into fraud or abuse
    • Manipulating data in Python (Pandas required)
    • Working in a modern cloud environment (Azure, AWS, or GCP) — certifications preferred
  • 2+ years of hands-on experience in each of:
    • Advanced data analysis in SQL (SQL Server and PostgreSQL)
    • Developing and scaling NLP solutions
    • Presenting methods and findings to technical and non-technical stakeholders, both orally and in written products/visualizations
Preferred
  • Cloud certifications (Azure, AWS, or GCP)
  • Experience supporting government audits or investigations
Work Schedule & Environment
  • Core hours between 6:00 a.m. and 6:00 p.m. local time, Monday–Friday
  • Telework authorized; occasional on-site meetings and collaboration as requested
  • Government-furnished equipment provided for work on government systems
  • Federal holidays observed
We are an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, or veteran status.