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Data Scientist Fraud Detection Jobs (NOW HIRING)

Nclusion

Senior Data Scientist - ML

Palo Alto, CA · On-site

$150K - $260K/yr

About the Role As a Data Scientist at Nclusion, you will be responsible for developing and ... Fraud Detection - Create and maintain ML models to identify potential fraud patterns * Model ...

Walmart

(USA) Senior, Data Scientist

Anderson, MO

$90K - $180K/yr

As a Senior Data Scientist , you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You'll work on high-impact problems that ...

Jaris

Data Scientist

Burlingame, CA

$95K - $140K/yr

We are seeking an experienced Data Scientist to own the identity verification and fraud monitoring ... Build predictive models and rules-based systems for fraud detection, identity verification, and BSA ...

Walmart

(USA) Senior, Data Scientist

Gravette, AR

$90K - $180K/yr

As a Senior Data Scientist , you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You'll work on high-impact problems that ...

Walmart

(USA) Senior, Data Scientist

Rogers, AR

$90K - $180K/yr

As a Senior Data Scientist , you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You'll work on high-impact problems that ...

Walmart

(USA) Senior, Data Scientist

Cassville, MO

$90K - $180K/yr

As a Senior Data Scientist , you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You'll work on high-impact problems that ...

Jaris

Data Scientist

Burlingame, CA · On-site

$95K - $140K/yr

We are seeking an experienced Data Scientist to own the identity verification and fraud monitoring ... Build predictive models and rules-based systems for fraud detection, identity verification, and BSA ...

Walmart

(USA) Senior, Data Scientist

Bentonville, AR · On-site

As a Senior Data Scientist , you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You'll work on high-impact problems that ...

Walmart

(USA) Senior, Data Scientist

Fayetteville, AR

$90K - $180K/yr

As a Senior Data Scientist , you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You'll work on high-impact problems that ...

Walmart

(USA) Senior, Data Scientist

Goshen, AR

$90K - $180K/yr

As a Senior Data Scientist , you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You'll work on high-impact problems that ...

Walmart

(USA) Senior, Data Scientist

Noel, MO

$90K - $180K/yr

As a Senior Data Scientist , you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You'll work on high-impact problems that ...

Walmart

(USA) Senior, Data Scientist

Bella Vista, AR

$90K - $180K/yr

As a Senior Data Scientist , you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You'll work on high-impact problems that ...

Walmart

(USA) Senior, Data Scientist

Johnson, AR

$90K - $180K/yr

As a Senior Data Scientist , you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You'll work on high-impact problems that ...

Walmart

(USA) Senior, Data Scientist

Cave Springs, AR

$90K - $180K/yr

As a Senior Data Scientist , you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You'll work on high-impact problems that ...

Walmart

(USA) Senior, Data Scientist

Elm Springs, AR

$90K - $180K/yr

As a Senior Data Scientist , you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You'll work on high-impact problems that ...

Walmart

(USA) Senior, Data Scientist

Bentonville, AR

$90K - $180K/yr

As a Senior Data Scientist , you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You'll work on high-impact problems that ...

Walmart

(USA) Senior, Data Scientist

Lowell, AR

$90K - $180K/yr

As a Senior Data Scientist , you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You'll work on high-impact problems that ...

Walmart

(USA) Senior, Data Scientist

Pea Ridge, AR

$90K - $180K/yr

As a Senior Data Scientist , you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You'll work on high-impact problems that ...

Walmart

(USA) Senior, Data Scientist

Centerton, AR

$90K - $180K/yr

As a Senior Data Scientist , you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You'll work on high-impact problems that ...

Walmart

(USA) Senior, Data Scientist

Greenland, AR

$90K - $180K/yr

As a Senior Data Scientist , you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You'll work on high-impact problems that ...

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All JobsData Scientist Fraud Detection Jobs

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 May 28, 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, and why are they important?

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.

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.

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.

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:
What job categories do people searching Data Scientist Fraud Detection jobs look for? The top searched job categories for Data Scientist Fraud Detection jobs are:
Data Scientist Fraud Detection jobs near you
Infographic showing various Data Scientist Fraud Detection job openings in the United States as of May 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist - ML

Nclusion

Palo Alto, CA • On-site

$150K - $260K/yr

Other

Medical, Dental, Vision, Retirement, PTO

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

Job description

About Nclusion
Nclusion is on a mission to provide traditional financial services to 1.5 billion people worldwide without access today. Without a secure way to save, invest, or transfer money, individuals are not empowered to accumulate short or long-term wealth. We're changing that by bridging the gap between traditional banking and the communities that need it most.
About the Role
As a Data Scientist at Nclusion, you will be responsible for developing and implementing machine learning and data models to analyze financial and user data, create comprehensive reports and visualizations, and improve our decision-making processes for underserved communities. You will also build and maintain data dashboards to track key metrics and provide actionable insights to stakeholders.
What You'll Do
  • Build ML Models - Develop models for credit risk assessment, fraud detection, and customer segmentation
  • Data Analysis - Extract meaningful insights from complex financial datasets, create robust feature sets, and develop innovative approaches to evaluate creditworthiness
  • Risk Assessment Systems - Design and implement automated risk scoring systems
  • Fraud Detection - Create and maintain ML models to identify potential fraud patterns
  • Model Monitoring and Optimization - Continuously monitor model performance, identify bias, and optimize algorithms
  • Cross-functional Collaboration - Work closely with engineering, product, finance, and compliance teams to implement ML solutions that meet regulatory requirements and business need
  • Data Visualization & Reporting - Design and maintain comprehensive dashboards and reports to communicate key insights to stakeholders
What You Bring to the Table
  • 8+ years of experience working with machine learning, data science, and analytics in production environments
  • Extensive experience with Python libraries for data analysis and deep learning frameworks
  • Proven track record implementing supervised and unsupervised learning algorithms and deep learning models
  • Strong foundation in statistical analysis, experimental design, and data visualization
  • Experience with big data processing frameworks and databases (BigQuery, Airflow, Spark, PosgreSQL)
  • Understanding of financial services, credit risk assessment, and fraud detection
  • Ability to explain complex technical concepts to non-technical stakeholders and collaborate effectively across teams
  • A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience)
Benefits and Perks
  • 401k with a match!
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Competitive compensation & equity - We believe in sharing success.
  • Flexible PTO - We focus on impact, not tracking vacation days. We encourage a minimum of 14 days.
  • In-office lunch, team events & culture

Yearly Salary: $150,000 - $260,000
In our commitment to fostering a diverse and inclusive workplace, we value the unique perspectives and experiences each individual brings to our team. We encourage all candidates, regardless of background, to apply. Your skills, talents, and potential contributions matter deeply to us, and we believe in creating an environment where everyone has an opportunity to thrive. We recognize that meeting every listed requirement may not always be possible, but we value passion, determination, and a willingness to learn. Your application is an opportunity for us to discover the exceptional qualities you bring.

Apply