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Full Time Fraud Data Scientist Jobs in Raleigh, NC

ClifyX

AI ML Data Scientist

Cary, NC · On-site

... fraud detection, mortgage default, foreclosure, credit risk management, price prediction and ... • Data Science Languages - SAS, SAS Enterprise Miner, R Programming, Python, Spark • ...

Spgi

Vice President, Data Science

Raleigh, NC · On-site

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor ... The expectation is production-grade models, comparable in rigor to fraud, risk, or surveillance ...

S&P Global

Vice President, Data Science

Raleigh, NC · On-site

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor ... The expectation is production-grade models, comparable in rigor to fraud, risk, or surveillance ...

SAS

Data Scientist (Emerging Careers)

Cary, NC · Hybrid

Master's degree in Computer Science, Engineering, Data Science or related quantitative field with at least 3 years of relevant full-time experience. * Strong research background in computer vision or ...

Accenture

AI/ML Computational Science Manager

Raleigh, NC · On-site

$94K - $293K/yr

Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science * Minimum of 5 years of experience in machine learning, deep learning, or ...

IQVIA

Lead Data Manager

Durham, NC · On-site

$89K - $224K/yr

... life sciences and healthcare industries. We create intelligent connections to accelerate the ... fraud. All information and credentials submitted in your application must be truthful and complete.

IQVIA

Lead Data Manager

Durham, NC

$89K - $224K/yr

... life sciences and healthcare industries. We create intelligent connections to accelerate the ... fraud. All information and credentials submitted in your application must be truthful and complete.

IQVIA, Inc.

Lead Data Manager

Durham, NC · On-site

$89K - $224K/yr

... life sciences and healthcare industries. We create intelligent connections to accelerate the ... fraud. All information and credentials submitted in your application must be truthful and complete.

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All JobsFraud Data Scientist JobsFull Time Fraud Data Scientist JobsFull Time Fraud Data Scientist Jobs in Raleigh, NC

Full Time Fraud Data Scientist information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do full time fraud data scientist jobs pay per year?

As of Aug 11, 2026, the average yearly pay for full time fraud data scientist in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

How does a full time fraud data scientist typically collaborate with other departments to develop effective fraud detection solutions?

A Full Time Fraud Data Scientist often works closely with teams such as engineering, product management, and fraud operations. Collaboration involves sharing insights from data analysis, discussing fraud patterns, and working together to design and implement detection algorithms. Regular cross-functional meetings are common, allowing data scientists to understand the needs of other teams and ensure that models are practical and aligned with business goals. This collaborative environment helps to rapidly identify emerging threats and continuously improve fraud prevention strategies.

What are the key skills and qualifications needed to thrive as a full time fraud data scientist?

To thrive as a Full Time Fraud Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a relevant degree in fields like computer science, mathematics, or data science. Familiarity with programming languages such as Python or R, experience with big data platforms (e.g., Hadoop, Spark), and knowledge of fraud detection tools or frameworks are typically required. Exceptional problem-solving abilities, attention to detail, and effective communication skills help you interpret data and collaborate with cross-functional teams. These skills are crucial for identifying fraudulent activities accurately and efficiently, protecting organizations from financial losses and reputational damage.

What does a full time fraud data scientist do?

A Full Time Fraud Data Scientist is responsible for analyzing large datasets to detect and prevent fraudulent activities within an organization. They use statistical models, machine learning algorithms, and data mining techniques to identify suspicious patterns and anomalies. Their work helps develop automated systems that flag or stop fraudulent transactions in real-time. Additionally, they collaborate with other teams such as cybersecurity, risk management, and compliance to ensure robust fraud detection and prevention strategies.
What are popular job titles related to Full Time Fraud Data Scientist jobs in Raleigh, NC? For Full Time Fraud Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Full Time Fraud Data Scientist jobs in Raleigh, NC look for? The top searched job categories for Full Time Fraud Data Scientist jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Full Time Fraud Data Scientist jobs? Cities near Raleigh, NC with the most Full Time Fraud Data Scientist job openings:
Full Time Fraud Data Scientist jobs near you
Infographic showing various Full Time Fraud Data Scientist job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

AI ML Data Scientist

ClifyX

Cary, NC • On-site

Full-time

Re-posted 17 days ago

Job description

Job Summary:
ClifyX is a company specializing in data science and analytics, and they are seeking an AI ML Data Scientist. The role requires expertise in predictive modeling and big data analytics, with a focus on implementing machine learning techniques to solve various business problems in the banking and financial services sector.
Responsibilities:
• Data Scientist with 5-10+ years of result-oriented, hands-on professional experience with a successful record of accomplishments in Data Science & Analytics and Project management in Banking and Financial Services.
• Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
• Proficiency in implementing Machine learning techniques -Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization)
• Strong leadership and capacity to work as a team player, as well as excellent communication skills
• Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking.
Qualifications:
Required:
• Machine Learning techniques
• Unsupervised - K-means Clustering, PCA - Dimension Reduction, Kernel Density Estimations
• Supervised - Regression, Decision Trees, Random forest, XG Boost algorithm
• Time series - Exponential models, Holt-Winters, ETS, Hybrid
• ARIMA & GARCH
• Deep Learning - Neural Network, Recurrent Neural Networks
• Database - SQL, Advance SQL, Oracle, NoSQL
• Data Science Languages - SAS, SAS Enterprise Miner, R Programming, Python, Spark
• Statistical & Data Management Packages - Python - Pandas, Numpy, sklearn, PyOdbc
• R- dplyr, car, caret, lubridate, zoo, Rminer, R-Odbc
• Visualization - Tableau, Shiny, ggplot2, dygraphs, matplotlib, seaborn
• Big Data Technologies - Spark (Pyspark & SparkR), Hadoop, Yarn
• PM Tools - MS Project, MS Visio, TFS, JIRA
• Cloud, Web frameworks & Virtualization - Azure, Flask, Docker & Kubernetes, Kafka
• 5-10+ years of result-oriented, hands-on professional experience with a successful record of accomplishments in Data Science & Analytics and Project management in Banking and Financial Services
• Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
• Proficiency in implementing Machine learning techniques - Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization)
• Strong leadership and capacity to work as a team player, as well as excellent communication skills
• Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998

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