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Temporary Fraud Data Scientist Jobs (NOW HIRING)

Truist

Fraud Data Scientist II

Atlanta, GA · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

Truist

Fraud Data Scientist II

Charlotte, NC

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

Truist

Fraud Data Scientist II

Charlotte, NC · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

BOK Financial

Data Product Owner - Fraud

Addison, TX

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 ...

BOK Financial

Data Product Owner - Fraud

Addison, TX · On-site

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 ...

BOK Financial

Data Product Owner - Fraud

Dallas, TX · On-site

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 • ...

BOK Financial

Data Product Owner - Fraud

Dallas, TX

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 ...

Suncoast Credit Union

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze ... temporary tables/views, and advanced joins; strong use of window functions (e.g., RANK, ROW_NUMBER ...

Suncoast Credit Union

Senior Fraud Data Analyst

Tampa, FL · On-site

$70K/yr

The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze ... temporary tables/views, and advanced joins; strong use of window functions (e.g., RANK, ROW_NUMBER ...

BOK Financial

Data Product Owner - Fraud

Tulsa, OK · On-site

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 ...

PayPal

Staff Data Scientist, Fraud

Chicago, IL

$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 ...

PayPal, Inc.

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 ...

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Temporary Fraud Data Scientist information

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$122.7K

$196.5K

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

As of Jul 27, 2026, the average yearly pay for temporary fraud data scientist 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 Temporary Fraud Data Scientist, and why are they important?

To thrive as a Temporary Fraud Data Scientist, you need strong analytical skills, experience with statistical modeling, and a background in data science or a related field, often supported by a relevant degree. Proficiency in programming languages such as Python or R, knowledge of machine learning frameworks, and familiarity with fraud detection systems are typically required. Strong problem-solving abilities, attention to detail, and effective communication help you quickly adapt and collaborate during short-term assignments. These skills are crucial for rapidly identifying fraudulent activities, delivering actionable insights, and ensuring business integrity within limited timelines.

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

AspectTemporary Fraud Data ScientistFraud Data Analyst
CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Data Analysis, Statistics, or related; proficiency in data tools
Work EnvironmentProject-based, short-term assignments, often in financial or e-commerce sectorsOngoing role within fraud prevention teams, often in finance or banking
Employer & Industry UsageFinancial institutions, e-commerce, insurance companiesBanking, credit card companies, online retailers

Temporary Fraud Data Scientists focus on developing models and algorithms to detect fraud, often on short-term projects. Fraud Data Analysts analyze data patterns to identify suspicious activity, typically in ongoing roles. Both roles require data analysis skills but differ in scope, tools, and project duration.

What are some common challenges faced by Temporary Fraud Data Scientists when joining an existing analytics team?

Temporary Fraud Data Scientists often face challenges such as quickly adapting to existing data infrastructure, understanding proprietary fraud detection models, and getting up to speed on the organization's specific fraud patterns. Because the role is temporary, there is a need to rapidly build relationships with cross-functional teams, such as compliance, IT, and operations, to access necessary data and insights. Effective communication and the ability to learn organizational processes swiftly are key to delivering impactful analyses within a limited timeframe.

What does a Temporary Fraud Data Scientist do?

A Temporary Fraud Data Scientist analyzes large datasets to detect and prevent fraudulent activities within a company, usually on a short-term or project-based contract. They use statistical models, machine learning, and data mining techniques to identify suspicious patterns and anomalies. Their work helps organizations minimize financial losses and improve security measures, often collaborating with other teams like IT, risk management, and compliance. Because the position is temporary, they are typically brought in to address urgent needs, such as investigating a recent spike in fraud or implementing new detection systems.
What cities are hiring for Temporary Fraud Data Scientist jobs? Cities with the most Temporary 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 Temporary Fraud Data Scientist jobs? States with the most job openings for Temporary Fraud Data Scientist jobs include:
Temporary Fraud Data Scientist jobs near you

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