Overview
Accepts corp to corp applications
Contract - W2
Contract - 10 month(s)
Skills
NIST 800-53
MS Visio
MS Project
PMP Certification
Communication skills
IT project management
state government experience
eligibility projects
Vendor Coordination
Information Security
MS Office 365
Health and Human Services systems
Compliance Projects
IRS Pub 1075
Audit Project Management
Business Process Management
Outsourced Environment Experience
Job Details
Job Title: Data Scientist
Location: Hybrid Remote with Onsite Requirement as directed by Client
Interview: In-person / WebCam
Job Description:
- 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.
| Skill | Required /Desired | Amount | of Experience |
|---|---|---|---|
| Familiarity with graph analytics or network-based fraud detection tools. | Highly desired | ||
| Knowledge of regulatory frameworks and compliance issues related to fraud and financial crime. | Highly desired | ||
| Strong communication skills with the ability to explain technical solutions to non-technical stakeholders. | Highly desired | ||
| Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics or a related field. | Required | ||
| 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 | ||
| 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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