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Temporary Fraud Data Scientist Jobs (NOW HIRING)

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 ...

Equifax

Senior Data Scientist - Fraud

Alpharetta, GA · On-site

... 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 ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Data Scientist I to support card fraud and token provisioning initiatives, with a focus on digital ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Data Scientist I to support card fraud and token provisioning initiatives, with a focus on digital ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Data Scientist I to support card fraud and token provisioning initiatives, with a focus on digital ...

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 ...

BILL

Fraud Strategy Data Scientist

San Jose, CA · On-site

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 ...

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

As of Aug 17, 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 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 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 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 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 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

Data Scientist - Fraud Analytics

Lorven Technologies, Inc.

Dallas, TX • On-site

Other

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

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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