Overview
Skills
Job Details
Job Title: Data Scientist Risk & Fraud Analytics
Client: Georgia Department of Human Services (DHS)
Location: 47 Trinity Ave SW, Atlanta, GA 30334 (Hybrid Role)
Job Overview:
The Georgia Department of Human Services (DHS) is seeking a highly skilled Data Scientist with a strong background in fraud and risk analytics. This role will focus on designing, building, and deploying machine learning models and statistical solutions to detect and prevent fraudulent behavior across DHS programs and services. The ideal candidate will be analytical, detail-oriented, and experienced with large datasets, predictive modeling, and real-time fraud detection strategies.
Key Responsibilities:
- Collect, clean, and analyze large and complex datasets from various internal and external sources
- Design and deploy machine learning models to detect, predict, and prevent fraud
- Translate business problems into data-driven solutions with measurable outcomes
- Monitor and improve fraud detection systems using KPIs and model evaluation metrics
- Perform deep-dive investigations into fraud incidents and develop insights for prevention
- Collaborate cross-functionally with fraud operations, engineering, and compliance teams
- Stay informed on emerging fraud trends and industry best practices
- Create clear and actionable reports and visualizations using tools like Power BI or Tableau
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, and SAS
- Strong understanding of machine learning techniques (supervised/unsupervised, anomaly detection, behavioral modeling, etc.)
- Experience working with large-scale datasets and cloud platforms (AWS, Google Cloud Platform, or Azure)
- Familiarity with responsible use of AI and ethical modeling
- Strong analytical, problem-solving, and data interpretation skills
- Experience with visualization tools such as Tableau and Power BI
Preferred Skills:
- Prior experience in public sector or human services programs
- Strong communication skills for cross-functional collaboration and stakeholder engagement
- Ability to work independently and deliver results in a fast-paced, mission-driven environment
| Required / Desired | Amount | of Experience |
| Familiarity with graph analytics or network-based fraud detection tools. | Highly desired |
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| Knowledge of regulatory frameworks and compliance issues related to fraud and financial crime. | Highly desired |
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| Strong communication skills with the ability to explain technical solutions to non-technical stakeholders. | Highly desired |
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| Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics or a related field. | Required |
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| Professional experience in data science. | Required | 10 | Years |
| Proficient in Python, SQL, SAS and machine learning techniques. | Required | 5 | Years |
| Experience working with large datasets and cloud platforms (e.g., AWS, Google Cloud Platform, Azure). | Required | 5 | Years |
| Understanding of supervised and unsupervised fraud detection techniques, including anomaly detection, behavioral modeling, and network analysis. | Required |
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| Experience with visualization tools like Tableau and Power BI. | Required | 5 | Years |
| Experience in responsible use of AI if used in solution design. | Required | 5 | Years |
| Strong analytical skills and the ability to identify patterns and trends from data. | Required |
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