ZipRecruiter

Log In

2

Full Time Fraud Data Scientist Jobs in Raleigh, NC

CEI

Data Engineer (Databricks, AWS)

Raleigh, NC

$70/hr

W2 only, 12-month contract with potential for extension or conversion to full time with the client ... The candidate will partner closely with Commercial Analytics, Data Science, and Business ...

IQVIA

Senior Scientist

Durham, NC

$80K - $167K/yr

Analyze, interpret, and present complex data sets to support antibody lead selection across ... fraud. All information and credentials submitted in your application must be truthful and complete.

IQVIA

Senior Automation Scientist

Durham, NC · On-site

$62K - $129K/yr

Integrate laboratory instruments with digital systems such as LIMS, ELN, scheduling tools, and data ... fraud. All information and credentials submitted in your application must be truthful and complete.

Guidehouse

Bioinformatics Scientist

Durham, NC

... ensure data quality, interpret results, and translate findings into actionable conclusions. This is a full-time role in Research Triangle Park, NC. * Collaborate with scientists, biologists ...

IQVIA

Senior Data Team Lead (Remote)

Raleigh, NC · Remote

$86K - $217K/yr

Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ... fraud. All information and credentials submitted in your application must be truthful and complete.

IQVIA

Senior Data Team Lead (Remote)

Durham, NC · Remote

$86K - $217K/yr

Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ... fraud. All information and credentials submitted in your application must be truthful and complete.

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

This is a full-time, on-site opportunity in Durham, NC. * Collaborate with scientists to design, analyze, manage and interpret all types of data. * Conduct analyses on NextGen sequencing data ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site +1

... data analysis, bioinformatics programming, and computational biology support ... This position is a full-time position located in Research Triangle Park, NC and is telework ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

This is a full-time, on-site opportunity inDurham, NC. * Collaborate with scientists to design, analyze,manageand interpret all types of data. * Conduct analyses on NextGen sequencing data including ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

This position is a full-time position located in Research Triangle Park, NC. * Conduct analysis and ... Conduct data analysis and interpretation on other large data types in a genomic context.

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

This position is a full-time position located in Research Triangle Park, NC. * Conduct analysis and ... Conduct data analysis and interpretation on other large data types in a genomic context.

previous pagenext page

Showing results 21-40

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.

Data Engineer (Databricks, AWS)

CEI

Raleigh, NC

$70/hr

Full-time, Contractor

Posted 4 days ago

Job description

Title: Data Engineer (onsite)
Location: Raleigh, NC
Contract: W2 only, 12-month contract with potential for extension or conversion to full time with the client.
Pay: $70/hour + optional medical, dental, vision, 401(k) match

Overview

The Data Engineer will be responsible for designing, developing, and optimizing large-scale data pipelines and analytical solutions supporting Life Sciences Commercial Operations. This role requires deep expertise in Databricks (including Genie), AWS cloud services, and PySpark, with strong domain knowledge of pharmaceutical/biotech commercial datasets such as IQVIA, Symphony, DDD, NPA, Xponent, Claims, Specialty Pharmacy, and CRM/Sales data. The candidate will partner closely with Commercial Analytics, Data Science, and Business Stakeholders to deliver high-quality, scalable data products that enable sales insights, targeting, forecasting, incentive compensation, and field performance reporting.

Key Responsibilities
  • Build, optimize, and maintain data pipelines using Databricks, Delta Lake, and Genie-powered workflows.
  • Implement LLM-based automation and query generation using Databricks Genie for data exploration and business-user self-service.
  • Develop notebooks, jobs, workflows, and ML-ready datasets within the Databricks environment.
  • Design and manage data ingestion, storage, and processing using AWS services such as S3, Glue, Lambda, EMR, Redshift, and Athena.
  • Implement secure, scalable architectures following AWS best practices (IAM, VPC, encryption, monitoring).
  • Build distributed data transformation pipelines using PySpark for high-volume commercial datasets.
  • Optimize PySpark jobs for performance, cost efficiency, and reliability.
  • Implement unit testing, CI/CD, and code versioning using Git-based workflows.
  • Ingest, harmonize, and model datasets including IQVIA (Xponent, DDD, NPA, LAAD, NSP), Claims (medical, pharmacy), Specialty Pharmacy data feeds, Sales & CRM (Veeva, Salesforce), Roster, Territory, and Alignment datasets.
  • Build commercial data marts supporting sales reporting and dashboards, targeting and segmentation, incentive compensation, forecasting, and field performance insights.
  • Work with Commercial Analytics, Data Science, IT, and Business teams to translate requirements into scalable data solutions.
  • Ensure data quality, lineage, governance, and compliance with industry standards (HIPAA, GxP, SOC2).
Required Skills
  • 5–10+ years of experience in Data Engineering or Big Data Analytics.
  • Strong hands-on experience with Databricks, Genie, Delta Lake, and MLflow.
  • Advanced proficiency in PySpark, Python, SQL, and distributed computing.
  • Deep experience with AWS (S3, Glue, Lambda, EMR, Redshift, IAM).
  • Proven experience working with Life Sciences Commercial datasets.
  • Strong understanding of data modeling, ETL/ELT, and cloud architecture.
  • Experience with CI/CD, Git, DevOps, and automated workflow orchestration.
  • Demonstrated knowledge of ingesting, harmonizing, and modeling pharmaceutical/biotech datasets.
  • Ability to build scalable, high-performance data pipelines.
  • Strong analytical and problem-solving skills.
  • Excellent communication and documentation abilities.
  • Ability to work in fast-paced, cross-functional environments with high attention to data accuracy.
Required Education
  • No Education Requirements
Preferred Skills
  • Experience with Databricks Unity Catalog and Lakehouse architecture.
  • Familiarity with LLM-based automation or AI-assisted analytics.
  • Experience supporting Commercial Operations, Sales Leadership, and Field Teams.
  • Knowledge of incentive compensation methodologies and targeting algorithms.
  • Experience with BI tools (Tableau, Power BI, Qlik).
Why Should I Apply?

This role offers the opportunity to work on cutting-edge data solutions supporting Life Sciences Commercial Operations, with significant impact on sales insights and forecasting. Join a dynamic team leveraging advanced cloud and big data technologies to transform pharmaceutical data analytics.

About CEI:
As a trusted technology partner, CEI delivers solutions that help our customers transform their business and achieve meaningful results. From strategy and custom application development through application management - our technology and digital experience services are tailored to meet each unique need of our customers. Our staffing solutions bring specialized skills to complement our customers' workforce and project requirements.

#ZR
#INDGEN