Overview
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
100% Travel
Skills
Data Scientist
Algorithms
Amazon Web Services
Analytical Skill
Analytics
Artificial Intelligence
Attention To Detail
Behavioral Modeling
Economics
FOCUS
Fraud
Cloud Computing
Collaboration
Computer Science
Machine Learning (ML)
Management
Data Science
Decision-making
Microsoft Power BI
Network Analysis
Python
Good Clinical Practice
Regulatory Compliance
SAS
SQL
Software Design
Statistics
Google Cloud Platform
KPI
Visualization
Mathematics
Microsoft Azure
ROOT
Real-time
Tableau
Unstructured Data
Job Details
Role: Data Scientist Risk and Fraud analytics
Location: Atlanta, GA (Hybrid)
Visa: No Transfers, GC
We are seeking a highly analytical and detail-oriented Data Scientist with experience in Risk and Fraud analytics to join our growing team. This role will focus on developing and deploying machine learning models, statistical methods, and data-driven strategies to detect risky behaviors and prevent fraudulent activities across our products and services.
Key Responsibilities
- 12+ years of experience required.
- Collect, clean, and analyze large, complex datasets from multiple sources.
- Develop predictive models and machine learning algorithms to support decision-making and improve business performance.
- Translatebusiness problems into data-driven solutions with measurable impact
- Develop and deploy machine learning models to detect, predict, and prevent fraudulent transactions and behavior patterns.
- Analyze large volumes of structured and unstructured data from multiple sources to identify fraud trends and root causes.
- Collaborate with fraud operations, engineering, and compliance teams to implement real-time fraud detection solutions.
- Design and monitor KPIs to evaluate model performance and improve fraud detection systems over time.
- Conduct deep-dive investigations into fraud cases, creating detailed reports and actionable insights.
- Stay current with emerging fraud techniques, industry best practices, and data science tools.
Required Qualifications
- Bachelor s or master s degree in data science, Computer Science, Statistics, Mathematics, Economics or a related field.
- 10+ years of professional experience in data science
- Proficient in Python, SQL, SAS and machine learning techniques
- Experience in responsible use of AI if used in solution design
- Strong analytical skills and the ability to identify patterns and trends from data
- Experience working with large datasets and cloud platforms (e.g., AWS, Google Cloud Platform, Azure).
- Strong understanding of supervised and unsupervised fraud detection techniques, including anomaly detection, behavioral modeling, and network analysis.
- Experience with visualization tools like Tableau and Power BI.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.