MDAEdge · 3 months ago
Associate Fraud Risk Data Scientist
San Jose, CA
Full-time
Hybrid
Entry, Mid Level
$45/hr - $50/hr
2+ years expMDAEdge is seeking a talented Associate Fraud Risk Data Scientist to join their Fraud Risk Data Science Team within the Risk Data & AI Innovation Organization. The role focuses on driving projects related to fraud detection, risk analysis, and loss mitigation using AI and analytics. The ideal candidate will have expertise in machine learning and data science methods to solve complex business challenges and will collaborate with cross-functional teams to implement scalable solutions.
Human Resources
Responsibilities
Designing, developing, and implementing machine learning and AI models to detect and mitigate fraud
Collaborate with stakeholders and cross-functional teams to deploy scalable, real-time fraud solutions
Monitor model performance, refine AI tools, and support AI transformation initiatives within risk management
Creating dashboards and visualizations to track key performance indicators
Clearly communicating complex analytical insights to technical experts and business leaders alike
Qualification
Required
2-6 years of experience in machine learning, AI, data science, and risk analytics
Strong background in eCommerce, online payments, user trust, risk, fraud, or product abuse investigations
Bachelor's or Master's degree in Data Science, Analytics, Mathematics, Statistics, Data Mining, or a related field, or equivalent practical experience
Expertise in statistics and data science methods to solve complex business challenges
Proficiency in SQL, Python, AWS, Excel, and key data science libraries
Strong skills in data visualization, particularly Tableau
Comfortable working with large datasets
Designing, developing, and implementing machine learning and AI models to detect and mitigate fraud
Collaborating with stakeholders and cross-functional teams to deploy scalable, real-time fraud solutions
Monitoring model performance, refining AI tools, and supporting AI transformation initiatives within risk management
Creating dashboards and visualizations to track key performance indicators
Clearly communicating complex analytical insights to technical experts and business leaders
Comfort with ambiguity and a results-driven approach to data science projects
Strong SQL proficiency and prior experience applying data science to fraud mitigation
Preferred
Experience with LLMs and AI tools for risk use cases
Company
MDAEdge
At MDAEdge, we help our clients reinvent innovation, optimize operations, and reshape perceptions—ensuring they remain at the forefront in today’s fast-evolving world.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase