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Fraud Data Scientist Jobs (NOW HIRING)

... end data science solution design, technical delivery, and measurable business outcome. 4. Engage in stakeholder meetings to identify business objectives and scope solution requirements. 5. ...

... end data science solution design, technical delivery, and measurable business outcome. 4. Engage in stakeholder meetings to identify business objectives and scope solution requirements. 5. ...

... end data science solution design, technical delivery, and measurable business outcome. 4. Engage in stakeholder meetings to identify business objectives and scope solution requirements. 5. ...

Bonus Type Discretionary Summary The Fraud Data Product Owner is a newly created role at the center ... Science, Data Science, Business or a related field and a minimum of 6 years of experience in ...

Bonus Type Discretionary Summary The Fraud Data Product Owner is a newly created role at the center ... Science, Data Science, Business or a related field and a minimum of 6 years of experience in ...

They are seeking a Fraud Data Product Owner to lead the transformation of fraud detection and ... Required : • Bachelor's Degree in Computer Science, Data Science, Business or a related field • ...

Bonus Type Discretionary Summary The Fraud Data Product Owner is a newly created role at the center ... Science, Data Science, Business or a related field and a minimum of 6 years of experience in ...

Bonus Type Discretionary Summary The Fraud Data Product Owner is a newly created role at the center ... Science, Data Science, Business or a related field and a minimum of 6 years of experience in ...

... fraud teams to make more informed, data-driven decisions. Essential Responsibilities: * Lead and manage data science projects, ensuring timely delivery and alignment with business goals. * Develop ...

Staff Data Scientist, Fraud

Chicago, IL · On-site

$160K - $238K/yr

... fraud teams to make more informed, data-driven decisions. Essential Responsibilities: * Lead and manage data science projects, ensuring timely delivery and alignment with business goals. * Develop ...

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 ...

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Fraud Data Scientist information

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$46K

$165K

$243.5K

How much do fraud data scientist jobs pay per year?

As of Jul 27, 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 job?

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.

More about Fraud Data Scientist jobs
What cities are hiring for Fraud Data Scientist jobs? Cities with the most Fraud Data Scientist job openings:
What are the most commonly searched types of Fraud Data Scientist jobs? The most popular types of Fraud Data Scientist jobs are:
What states have the most Fraud Data Scientist jobs? States with the most job openings for Fraud Data Scientist jobs include:
Infographic showing various Fraud Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Fraud Data Analyst

Bright Mind Solutions LLC

Cupertino, CA • On-site

$85 - $90/hr

Contractor

Posted 2 days ago


Job description

****Local to Cupertino only***Must be local to Cupertino***
 
 

Citizens only

6 months 

full linkedin

Date of birth

NO FAKE RESUMES 

Job Title: Fraud Data Analyst
Company: Big Four Client
Location: Bay Area (CA)
Work Authorization: U.S. Citizen or Green Card Holder
 
Duration: 7+ Months
 
Must have: Development to design and implement fraud monitoring solutions
and fraud prevention strategies.
◦ Analyze large datasets to identify trends, patterns, and anomalies related to gift
card fraud.
◦ Develop and maintain dashboards and reports that monitors suspicious activities
trends.
◦ Create and track fraud KPIs to measure the effectiveness of fraud prevention
strategies.
◦ Proactively identify emerging gift card fraud schemes and develop strategies to
mitigate them.
◦ Collaborate with other fraud analysts, data scientists, and engineers to develop
fraud prevention tools, systems and products."

Overview

We are seeking an experienced Fraud Data Analyst specializing in gift card fraud to join our team in the Bay Area. In this critical role, you will leverage your advanced PySpark expertise (6–9 years) and strong analytical skills to develop and implement robust fraud monitoring solutions that protect our customer's business. You will work cross-functionally with Fraud, Legal, Operations, Product, and Business Development teams to proactively detect, analyze, and mitigate complex gift card fraud schemes.


Key Responsibilities

  • Collaborate with cross-functional teams including Fraud, Legal, Operations, Product, and Business Development to design and implement scalable fraud monitoring solutions and dynamic fraud prevention strategies.
  • Analyze large-scale transactional and behavioral datasets using advanced PySpark to uncover trends, patterns, and emerging anomalies related to gift card fraud.
  • Develop and maintain insightful dashboards and regular reports to monitor suspicious activity trends and fraudulent behaviors.
  • Create and track fraud-specific Key Performance Indicators (KPIs) to measure and optimize the effectiveness of fraud prevention initiatives.
  • Proactively identify and assess new and emerging gift card fraud schemes, recommending and executing risk mitigation strategies.
  • Partner with other fraud analysts, data scientists, and engineers to build and refine fraud prevention tools, machine learning models, and monitoring systems.
  • Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

Required Qualifications:

  • Advanced-level proficiency in PySpark (6–9 years of hands-on experience), including large-scale data processing and ETL workflows.
  • Demonstrated experience in fraud detection, ideally with a focus on gift card fraud.
 
If you are interested or have any references please share resume at mukul@brightmindsol.com