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Fraud Data Scientist Jobs in Raleigh, NC (NOW HIRING)

This senior data analyst role sits within our Data Science, Analytics, and Technology Solutions ... fraud. All information and credentials submitted in your application must be truthful and complete.

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness ...

Machine Learning Tutor

Raleigh, NC · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness ...

Machine Learning Tutor

Durham, NC · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness ...

Epidemiologists, data science, and clinical leads to deliver project specific goals and timelines ... fraud. All information and credentials submitted in your application must be truthful and complete.

Epidemiologists, data science, and clinical leads to deliver project specific goals and timelines ... fraud. All information and credentials submitted in your application must be truthful and complete.

Epidemiologists, data science, and clinical leads to deliver project specific goals and timelines ... fraud. All information and credentials submitted in your application must be truthful and complete.

Bachelors in a quantitative discipline (Economics, statistics, finance, data science or analytics ... OFAC), Liquidity, or Fraud * Subject matter expertise in generative large language models ...

Showing results 41-60

Fraud Data Scientist information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do fraud data scientist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for fraud data scientist in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the fraud data scientist position, and why are they important?

To thrive as a Fraud Data Scientist, you need strong analytical skills in statistics, machine learning, and data analysis, typically backed by a degree in data science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with SQL databases, and knowledge of fraud detection tools such as SAS, Hadoop, or relevant certifications like CFE are highly valued. Excellent problem-solving ability, communication skills, and the capacity to work collaboratively with cross-functional teams are important soft skills. These abilities are crucial for identifying and mitigating fraudulent activities while ensuring clear collaboration and actionable insights in a high-stakes financial environment.

What is a fraud data scientist?

A Fraud Data Scientist analyzes transactional and behavioral data to detect, prevent, and mitigate fraudulent activities. They use machine learning models, statistical analysis, and anomaly detection techniques to identify suspicious patterns in financial, e-commerce, or other data-heavy industries. Their role involves working with large datasets, collaborating with fraud investigators, and continuously improving fraud detection systems to minimize financial losses and risks.

What are the typical daily responsibilities of a fraud data scientist?

A Fraud Data Scientist's day often involves analyzing large datasets to detect suspicious patterns, developing and validating machine learning models to predict fraudulent activity, and collaborating with other teams such as compliance and risk management. Additionally, they may respond to real-time fraud alerts, participate in meetings to refine detection strategies, and prepare reports for stakeholders. The role combines technical analysis with ongoing learning about emerging fraud trends, making every day dynamic and intellectually challenging. Teamwork and adaptability are essential, as you'll frequently coordinate with engineers and business leaders to continually enhance fraud prevention efforts.

How much do fraud data scientists make?

Fraud data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and fraud detection tools can earn higher salaries, often exceeding $150,000.

What are the most commonly searched types of Fraud Data Scientist jobs in Raleigh, NC?

The most popular types of Fraud Data Scientist jobs in Raleigh, NC are:

What are popular job titles related to Fraud Data Scientist jobs in Raleigh, NC?

For Fraud Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Fraud Data Scientist jobs in Raleigh, NC look for?

The top searched job categories for Fraud Data Scientist jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Fraud Data Scientist jobs?

Cities near Raleigh, NC with the most Fraud Data Scientist job openings:

Infographic showing various 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 $160,411 per year, or $77.1 per hour.

Senior Epidemiological Programmer RWE - Oncology

IQVIA

Durham, NC • On-site

$88K - $220K/yr

Full-time

Re-posted 2 days ago


IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

62nd of 224 rated it services


Job description

IQVIA is hiring to expand our dedicated Real-World Evidence (RWE) FSP team, working fully within the environment of a prominent pharmaceutical company. This senior data analyst role sits within our Data Science, Analytics, and Technology Solutions (DATS) team and will be responsible for leading the development of datasets and conducting longitudinal analyses for observational studies in the oncology therapeutic area under a single client portfolio.
It is important that this individual has prior experience in observational research utilizing EMR and claims data, particularly in safety analyses, along with a strong statistical programming skillset and experience managing multiple studies and complex analyses. In this role, individuals will have access to real-world databases and will act as stewards of the client's best practices, standards, and methodologies underlying the use of real-world data (RWD).

Essential Functions

  • Lead development of analytic datasets through raw data processing and conduct data checks / cleaning using secondary real world data sources, including claims, EHR, and lab data (must have experience in PharMetrics Plus, Flatiron, or Tempus)
  • Lead the feasibility of real-world data sources to characterize patient population, build patient cohorts, and define and validate key variables specific to study objectives.
  • Conduct and QC analyses, identification of diagnosis and treatment codes and applying statistical methods to handle censor data, confounding, and missing data.
  • Collaborate with epidemiologists to define specifications for descriptive and complex statistics (e.g., longitudinal analysis, survival analysis, regression models) in studies using RWD for oncology research questions, including safety analyses.
  • Develop and QC TFLs for protocols/reports/manuscripts using RWD (e.g. claims and EHR)
  • Support development of other study documents including protocols, statistical analysis plans, and study reports
  • Communicate timelines, progress reports, and results to project team and key stakeholders
  • Provide technical, programming, and statistical expertise and independently bring project solutions to team for complex studies

Qualifications

  • Master's Degree in Biostatistics, Epidemiology, Data Science or related field with 5-8 years relevant experience or PhD with 3 years relevant experience
  • Strong track record of analysis of RWD using claims, EMR, and lab data (Tempus, Flatiron or PharMetrics Plus is preferred)
  • Experience analyzing oncology data and safety outcomes is preferred.
  • Demonstrated proficiency in advanced statistical programming using SAS and/or R, macros, SQL
  • Prior pharmaceutical experience and advanced knowledge of observational research study design and analytic methodologies
  • Excellent analytic and communication skills with attention to detail
  • Ability to effectively manage and prioritize multiple tasks and projects

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $88,300.00 - $220,900.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US