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Overnight Fraud Data Scientist Jobs (NOW HIRING)

Truist

Fraud Data Scientist II

Atlanta, GA · On-site

... 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. ...

Truist

Fraud Data Scientist II

Charlotte, NC

... 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. ...

Truist

Fraud Data Scientist II

Charlotte, NC · On-site

... 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. ...

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 ...

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 ...

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 ...

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All JobsFraud Data Scientist JobsOvernight Fraud Data Scientist Jobs

Overnight Fraud Data Scientist information

See salary details

$46K

$165K

$243.5K

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

As of Jul 27, 2026, the average yearly pay for overnight 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 is the difference between Overnight Fraud Data Scientist vs Fraud Analyst?

AspectOvernight Fraud Data ScientistFraud Analyst
CredentialsBachelor's/Master's in Data Science, Statistics, or related fieldBachelor's in Criminal Justice, Finance, or related field
Work EnvironmentData-driven, analytical, often remote or night shiftsCustomer service, investigation, on-site or remote during business hours
Industry UsageFinancial institutions, e-commerce, fintech companiesBanking, credit card companies, retail
Search/Comparison IntentUnderstanding technical data roles in fraud detectionOperational fraud investigation and customer support

The Overnight Fraud Data Scientist focuses on analyzing large datasets to develop models that detect fraud, often working overnight or remotely. In contrast, a Fraud Analyst typically investigates suspicious activity, reviews alerts, and interacts with customers during regular hours. Both roles are essential in fraud prevention but differ in technical expertise, work hours, and daily responsibilities.

How does an Overnight Fraud Data Scientist typically interact with other teams to detect and prevent fraudulent activities?

Overnight Fraud Data Scientists often work closely with fraud analysts, risk management teams, and IT professionals to monitor suspicious activity in real time. They are responsible for analyzing transaction data, developing detection models, and rapidly communicating findings to relevant stakeholders, even outside regular business hours. This collaboration ensures that fraud is identified and addressed promptly, minimizing potential losses for the organization. Being proactive and having strong communication skills are essential for effective teamwork in this fast-paced environment.

What are the key skills and qualifications needed to thrive as an Overnight Fraud Data Scientist, and why are they important?

To excel as an Overnight Fraud Data Scientist, you need a strong background in statistics, machine learning, data analysis, and a relevant degree in fields such as computer science or mathematics. Familiarity with programming languages like Python or R, experience using big data platforms (e.g., Hadoop, Spark), and knowledge of fraud detection systems are typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate across teams. These competencies are crucial for identifying fraudulent activity quickly and accurately during overnight hours to protect organizational assets and minimize risk.

What does an Overnight Fraud Data Scientist do?

An Overnight Fraud Data Scientist is responsible for analyzing transaction data and monitoring for fraudulent activity during nighttime hours when fewer staff are present. They use statistical models, machine learning, and data analysis tools to detect unusual patterns that may indicate fraud, helping organizations minimize risk and financial losses. Their role often involves real-time monitoring, rapid response to alerts, and collaborating with other teams to improve detection systems. Overnight shifts are crucial as fraudulent activities may spike outside typical business hours, requiring constant vigilance.
What cities are hiring for Overnight Fraud Data Scientist jobs? Cities with the most Overnight 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 Overnight Fraud Data Scientist jobs? States with the most job openings for Overnight Fraud Data Scientist jobs include:
Overnight Fraud Data Scientist jobs near you
Infographic showing various Overnight Fraud Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 2% 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