Associate Fraud Risk Data Scientist
Share
Job Location:
Monthly Salary:
Experience Required:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Now Hiring: Associate Fraud Risk Data Scientist Hybrid
Work Location: San Jose CA
Work type: Contract (W2 only)
Work Authorization: Only GC or US Citizens
About the Role
We are seeking a talented and driven Fraud Risk Data Scientist to join our Risk Data & AI Innovation this role you will design and deploy AI/ML models to detect fraud mitigate risk and reduce losses across eCommerce and payments ecosystems. Youll collaborate with product engineering and business stakeholders to develop scalable real-time fraud detection solutions while driving AI transformation within risk management.
This is an exciting opportunity for someone passionate about combining data science machine learning and business impact in the fraud and risk domain.
Key Responsibilities
- Design develop and implement machine learning and AI models for fraud detection and risk mitigation.
- Support stakeholders in effectively leveraging models for risk decision-making.
- Partner with product and engineering teams to deploy and monitor models at scale in real-time environments.
- Conduct statistical analysis and data science to solve complex fraud and risk problems.
- Build dashboards and visualizations (e.g. Tableau) to track KPIs and model performance.
- Communicate insights results and recommendations clearly to technical teams business partners and executives.
- Drive AI transformation across risk management activities including experimenting with LLMs and other emerging AI tools.
Required Skills & Qualifications
- 26 years of experience in machine learning/AI data science risk analytics and data analysis.
- Relevant industry experience in eCommerce online payments user trust/risk/fraud or product abuse investigation.
- Bachelors or Masters degree in Data Science Statistics Mathematics Data Analytics or related field or equivalent practical experience.
- Proficiency in Python SQL AWS Excel and key data science libraries.
- Strong experience working with large datasets.
- Proficiency in data visualization tools (Tableau preferred).
- Strong analytical and problem-solving skills with the ability to make data-driven recommendations.
- Excellent communication skills for diverse stakeholder groups.
- Experience developing and implementing AI tools such as LLMs for risk use cases.
- Hands-on experience in dashboard creation model monitoring and KPI reporting.
- Prior experience in fraud detection or risk-related data science applications.
Required Skills:
Risk Analytics Fraud Mitigation Python SQL AWS Quicksight Tableau
Company Industry
IT Services and IT Consulting
Key Skills
- Laboratory Experience
- ELISA
- Immunoassays
- Transfection
- Mammalian Cell Culture
- Suspension Experience
- Biochemistry
- Assays
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
