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Data Scientist Fraud Detection Jobs (NOW HIRING)

Data Scientist III

Bella Vista, AR · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data Scientist III, you will be responsible for owning fraud risks in various product segments and being a ...

Data Scientist III

Lowell, AR · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data Scientist III, you will be responsible for owning fraud risks in various product segments and being a ...

Data Scientist III

Decatur, AR · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data Scientist III, you will be responsible for owning fraud risks in various product segments and being a ...

Data Scientist III

Pea Ridge, AR · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data Scientist III, you will be responsible for owning fraud risks in various product segments and being a ...

Data Scientist III

Tontitown, AR · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data Scientist III, you will be responsible for owning fraud risks in various product segments and being a ...

Data Scientist III

Goshen, AR · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data Scientist III, you will be responsible for owning fraud risks in various product segments and being a ...

Data Scientist III

Elm Springs, AR · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data Scientist III, you will be responsible for owning fraud risks in various product segments and being a ...

Data Scientist III

Centerton, AR · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data Scientist III, you will be responsible for owning fraud risks in various product segments and being a ...

Data Scientist III

Fayetteville, AR · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data Scientist III, you will be responsible for owning fraud risks in various product segments and being a ...

Data Scientist III

Gravette, AR · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data Scientist III, you will be responsible for owning fraud risks in various product segments and being a ...

... up fraud detection and response, and creating risk rules and strategies empowered with ML models ... Fluency in AI-assisted data analysis / data science tooling Things that enable a fulfilling ...

New

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data Scientist III, you will be responsible for owning fraud risks in various product segments and being a ...

Data Scientist III

Springdale, AR · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data Scientist III, you will be responsible for owning fraud risks in various product segments and being a ...

Data Scientist III

Bentonville, AR · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data Scientist III, you will be responsible for owning fraud risks in various product segments and being a ...

Data Scientist III

Johnson, AR · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data Scientist III, you will be responsible for owning fraud risks in various product segments and being a ...

Data Scientist III

Rogers, AR · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data Scientist III, you will be responsible for owning fraud risks in various product segments and being a ...

Data Scientist III

Elkins, AR · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data Scientist III, you will be responsible for owning fraud risks in various product segments and being a ...

Data Scientist III

Cave Springs, AR · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data Scientist III, you will be responsible for owning fraud risks in various product segments and being a ...

Data Scientist III

Noel, MO · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data Scientist III, you will be responsible for owning fraud risks in various product segments and being a ...

Showing results 41-60

Data Scientist Fraud Detection information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Aug 8, 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?

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.

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.

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.
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:
Infographic showing various Data Scientist Fraud Detection job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist III

Sam's Club

Bella Vista, AR • On-site

$90K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Sam's Club rating

6.4

Company rating: 6.4 out of 10

Based on 2,013 frontline employees who took The Breakroom Quiz

17th of 39 rated national retailers


Job description

Position Summary... What you'll do...We are looking for a Data Scientist III to join Sam’s Club fraud detection team. As a Data Scientist III, you will be responsible for owning fraud risks in various product segments and being a strategic partner to product & business teams. You will be tasked to set goals, create strategy, and closely collaborate with product managers, engineers and business stakeholders. You’ll be responsible for detecting changed fraud trends, building and implementing ML models with high-dimensional, fast moving real time dataset and driving innovation in detecting & preventing fraud across various channels. You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection accuracy, accelerate investigations, and improve model explainability and decision intelligence.   **Immigration Sponsorship support will NOT be available for this
position**   What You'll Do:
  • Use machine learning to develop models for fraud detection in areas such as E-Commerce & In-club payment fraud, Return abuse, Account takeover (ATO) etc.
  • Design and implement graph-based fraud detection systems, including link analysis, entity resolution, and Graph Neural Network (GNN) models to detect coordinated fraud rings and network-level risk signals.
  • Leverage Generative AI techniques (e.g., LLMs and Agentic workflows) to enhance fraud detection, automate investigation workflows, generate risk narratives, and improve model explainability.
  • Partnering with business and technical stakeholders to translate fraud business problems into data science solutions.
  • Work on highly-scalable ML models and algorithms in big data mining, graph modeling & other domains.
  • Work with engineering teams to implement model pipeline and deploy the service at scale.
  • Swiftly respond to system issues and deep dive into root cause analysis
  What You'll Bring:
  • Industry experience in building production machine learning systems at scale.
  • 3-5 years of experience with languages used to manipulate data and draw insights from large data sets (e.g. Python, SQL, etc.)
  • Experience working with large data sets and distributed computing tools (PySpark/GCP/BigQuery).
  • Hands-on experience or strong familiarity with Graph Neural Networks (GNNs), graph embeddings, or large-scale graph processing frameworks.
  • Experience exploring or applying Generative AI / LLM-based approaches for decision intelligence, feature generation, workflow automation, or explainability.
  • Experience in fraud risk solutions is desirable
  • Experience in working with cross-functional product and engineering teams to understand requirements and incorporate them in the roadmap.
  About Walmart Global Tech: Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.   Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.   Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. At Sam's Club, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet!
-Health benefits include medical, vision and dental coverage
-Financial benefits include 401(k), stock purchase and company-paid life insurance
-Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U is a company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $90,000.00 - $180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include Regional Pay Zone (RPZ) (based on location).

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field. Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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