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Data Scientist Fraud Detection Jobs (NOW HIRING)

Veryfi

Data Scientist - Fraud Detection

San Mateo, CA · On-site

Veryfi is looking for a fraud expert to join our AI team to drive innovation in both digital and physical document forgery detection. We want you to be part of the team that will lead in world-class ...

Robinhood

Senior Data Scientist, Fraud

Menlo Park, CA · On-site

$187K - $220K/yr

Design and deploy fraud detection models to protect Robinhood users and assets in real time ... data science or applied ML, with a focus on fraud detection or risk mitigation * Advanced ...

Robinhood

Senior Data Scientist, Fraud

Menlo Park, CA · On-site

$187K - $220K/yr

Design and deploy fraud detection models to protect Robinhood users and assets in real time ... data science or applied ML, with a focus on fraud detection or risk mitigation * Advanced ...

Integral Ad Science

Staff Data Scientist

New York, NY

$135.10K - $231.60K/yr

As a Staff Data Scientist , Fraud Detection, at IAS, you will be part of a team that is at the center of innovation for the company and a major contributor to our core products . As part of the data ...

Integral Ad Science

Staff Data Scientist

New York, NY · On-site

$135.10K - $231.60K/yr

As a Staff Data Scientist , Fraud Detection, at IAS, you will be part of a team that is at the center of innovation for the company and a major contributor to our core products . As part of the data ...

Nextdoor

Senior Data Scientist - Fraud Prevention

Define and track core metrics (e.g., harm prevalence, violation rates, detection accuracy ... data science experiencein fraud prevention, moderation, or risk. * Strong analytical and problem ...

Nextdoor

Senior Data Scientist - Fraud Prevention

OR · On-site +1

Define and track core metrics (e.g., harm prevalence, violation rates, detection accuracy ... data science experience in fraud prevention, moderation, or risk. * Strong analytical and ...

Socure

$180K - $210K/yr

... fraud detection and risk management solutions. You will lead technical initiatives, mentor peers ... Mentor and share knowledge with peers and junior data scientists, fostering a culture of ...

Elite WorkForce Inc

Data Scientist at GA

Atlanta, GA · On-site

Data Scientist Location: Atlanta, GA 30334 Client: State of Georgia Duration: 12+ Months We are ... Develop and deploy machine learning models for fraud detection. * Collaborate with engineering and ...

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Data Scientist Fraud Detection information

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$37.5K

$122.7K

$196.5K

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

As of May 28, 2026, the average yearly pay for data scientist fraud detection 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 Data Scientist in Fraud Detection, and why are they important?

To thrive as a Data Scientist in Fraud Detection, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with big data tools (e.g., Hadoop, Spark), and knowledge of fraud detection platforms are essential. Strong problem-solving abilities, attention to detail, and effective communication skills set candidates apart in this field. These skills and qualities are crucial for identifying fraudulent activities quickly and accurately, minimizing financial losses, and supporting organizational security.

How does a Data Scientist in Fraud Detection typically collaborate with other teams to develop effective solutions?

As a Data Scientist in Fraud Detection, you will regularly collaborate with cross-functional teams such as fraud analysts, software engineers, and product managers. Working closely with fraud analysts helps you understand emerging fraud patterns, while partnering with engineers ensures your models are effectively integrated into real-time systems. You may also coordinate with compliance and legal teams to ensure solutions meet regulatory requirements. This collaborative approach not only improves the accuracy and impact of fraud detection models but also fosters a dynamic, supportive work environment.

What does a Data Scientist in Fraud Detection do?

A Data Scientist in Fraud Detection analyzes large datasets to identify patterns and anomalies that could indicate fraudulent activities. They use machine learning algorithms, statistical models, and data mining techniques to detect and prevent fraud in areas like banking, insurance, and e-commerce. Their work helps organizations proactively combat fraud by developing predictive models and automated systems that flag suspicious transactions. Additionally, they often collaborate with other departments to refine detection strategies and ensure compliance with regulations.

What is the difference between Data Scientist Fraud Detection vs Data Analyst Fraud Detection?

AspectData Scientist Fraud DetectionData Analyst Fraud Detection
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL
Work EnvironmentDeveloping models, advanced analytics, machine learning tasksData cleaning, reporting, basic analysis
Employer & Industry UsageFinancial institutions, e-commerce, insurance

Data Scientist Fraud Detection focuses on building predictive models and applying machine learning techniques to identify fraud patterns. Data Analysts Fraud Detection primarily perform data cleaning, reporting, and basic analysis to support fraud detection efforts. While both roles work in similar industries, Data Scientists handle more complex modeling, whereas Data Analysts focus on data interpretation and reporting.

More about Data Scientist Fraud Detection jobs
What cities are hiring for Data Scientist Fraud Detection jobs? Cities with the most Data Scientist Fraud Detection job openings:
What states have the most Data Scientist Fraud Detection jobs? States with the most job openings for Data Scientist Fraud Detection jobs include:
What job categories do people searching Data Scientist Fraud Detection jobs look for? The top searched job categories for Data Scientist Fraud Detection jobs are:
Data Scientist Fraud Detection jobs near you
Infographic showing various Data Scientist Fraud Detection job openings in the United States as of May 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist - Fraud Detection

Data Scientist - Fraud Detection

Veryfi

San Mateo, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Fraud Expert Position

Veryfi deals with business documents. We are a fast-growing company that deals with countless business documents of all types. The ability to discern fraudulent documents is pivotal to our company. Our customers rely on us to tell apart fraud submission from the genuine article. The earlier in the process we can pinpoint fraud, the more we can spare the aggravations further down the process line.

Veryfi is looking for a fraud expert to join our AI team to drive innovation in both digital and physical document forgery detection. We want you to be part of the team that will lead in world-class fraud detection. We are looking for someone almost obsessively detail-oriented with equal measure in formal mathematical/academic training and industry seasoning with a proven track record of delivering solutions to very complex problems with your immense creativity. We want someone who not only has written seminal journal papers in relevant fields, but also has some experience being part of a team that has nurtured their work into production.

We expect you to become an expert on analyzing document fraud in all manifestations. Define a clear and comprehensive approach in the fraud identification model that anticipates and adapts to future fraud approach attempts. Fraudsters are only too willing to move on to the next approach once their present scheme is detected. We strive to get ahead of them rather than merely react.

Expectations:

  • A razor-sharp intellect
  • 2+ years of work experience in fraud detection
  • Excellent academic credentials with at least a BS in Mathematics, Statistics, CompSci, etc… We would consider very strong candidates with more years of relevant experience in lieu of alphabets array (MS, PhD)
  • Experience with necessary tools including Spark, Elasticsearch, DBs (SQL, NoSQL, GraphDB)
  • Strong programming skills - If you need someone else to write into production code your innovative fraud solution then maybe this position is not for you.

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