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Urgent! Associate Fraud Risk Data Scientist Job Opening In San Jose – Now Hiring San R&D Business Solutions LLC
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 team.
In 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.
4-5 years
Risk Analytics, Fraud Mitigation, Python, SQL, AWS Quicksight, Tableau
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Unlock Your Associate Fraud Potential: Insight & Career Growth Guide
Real-time Associate Fraud Jobs Trends in San Jose, United States (Graphical Representation)
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Great news! San R&D Business Solutions LLC is currently hiring and seeking a Associate Fraud Risk Data Scientist to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at San R&D Business Solutions LLC adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Associate Fraud Risk Data Scientist Jobs United States varies, but the pay scale is rated "Standard" in San Jose. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Associate Fraud Risk Data Scientist typically include Business And Financial Operations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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