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Fraud Data Scientist Jobs (NOW HIRING)

Equifax

Senior Data Scientist - Fraud

Alpharetta, GA · On-site

  • Medical

  • Retirement

  • PTO

... science fundamentals to lead data preparation, analytics, and development of deployable solutions across multiple projects in the Fraud space. Qualified candidates will have a passion for data ...

Equifax, Inc.

Senior Data Scientist - Fraud

Alpharetta, GA · On-site

  • Medical

  • Retirement

  • PTO

... science fundamentals to lead data preparation, analytics, and development of deployable solutions across multiple projects in the Fraud space. Qualified candidates will have a passion for data ...

BILL

Fraud Strategy Data Scientist

San Jose, CA

Minimum 3+ years of experience in end to end fraud risk control strategy experience within relevant industry experience in eCommerce, or online payments, leveraging data science/analytics to solve ...

Capital One Group

$162 - $185/hr

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ... This role will bring these methodologies to bear on the debit authorization fraud side of our team ...

New

Suncoast Credit Union

Senior Fraud Data Analyst

Tampa, FL · On-site

$70K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze data, create recommendations, and respond to fraud attacks. Additionally, the Senior Fraud Analysts ...

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 · 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 ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Data Scientist I to support card fraud and token provisioning initiatives, with a focus on digital payment security across mobile and digital wallet platforms (e.g., Apple Pay, Google Pay, Samsung ...

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Showing results 21-40

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Fraud Data Scientist information

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$243.5K

How much do fraud data scientist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for fraud data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 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.
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Fraud Data Scientist jobs near you
Infographic showing various Fraud Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist - Fraud Analytics

Lorven Technologies, Inc.

Dallas, TX • On-site

Other

Posted 3 days ago

New

Job description

Position: Data Scientist - Fraud Analytics

Location: Dallas, TX (Onsite)


Job Description:

  • Overall 8+ years of experience required
  • Looking for a Data Scientist with strong expertise in Fraud Analytics, Machine Learning, and AI-driven fraud detection solutions
  • You will lead end-to-end fraud use case discovery, model development, feature engineering, and deployment of advanced fraud detection systems leveraging ML, Graph Analytics, and AI techniques.
  • Identify predictive variables and build fraud feature catalogues.
  • You should build and validate pilot fraud detection models
  • Collaborate with engineering teams on low-latency scoring architectures.
  • Drive model explainability, governance, and compliance initiatives.
  • Support shadow runs and challenger model validation against existing systems.
  • Strong analytical and problem-solving skills, with a proven track record of identifying and resolving complex billing issues.
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

Looking forward for your reply.

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

Social media

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