Associate Fraud Risk Data Scientist

Location: San Jose, CA (Hybrid)
Experience Level: Mid–Senior
Experience Required: 2–6 Years
Education Required: Bachelor’s Degree in Data Science, Mathematics, Statistics, Analytics, or related field
Job Function: Finance / Data Science
Industry: Financial Services
Positions Available: 1
Relocation Assistance: No
Visa Sponsorship Eligibility: No

About the Role

Community Talent Partners is seeking anAssociate Fraud Risk Data Scientist for a hybrid opportunity based inSan Jose, CA. The ideal candidate will have hands-on experience usingSQL, Python, Tableau, and AWS to build and deploy data-drivenfraud detection and risk analytics models ineCommerce, online payments, or fintech environments.

This role is ideal for data science professionals passionate about applyingmachine learning and AI to identify, prevent, and mitigate fraud while driving trust and safety at scale.

Key Responsibilities

• Design, develop, and deployfraud detection and risk mitigation models usingmachine learning and AI.

• UseSQL and Python to analyze large datasets, detect fraud patterns, and develop predictive insights.

• Builddashboards and visualizations inTableau to monitor model performance and KPIs.

• Work with product and engineering teams to implement scalable fraud solutions inAWS environments.

• Communicate analytical findings and recommendations to business and technical stakeholders.

Must-Have Qualifications

• 2–6 years of experience infraud risk analytics, machine learning, or data science, preferably ineCommerce, online payments, or fintech.

• Proven expertise inSQL andPython for data analysis and model development.

• Strong understanding offraud detection,risk analytics, anddata-driven decision-making.

• Proficiency inTableau (or equivalent) for data visualization.

• Experience working inAWS or similar cloud environments.

• Bachelor’s degree inData Science, Statistics, Mathematics, Analytics, or a related quantitative field.

Nice to Have

• Experience developingAI tools or LLMs for fraud or risk use cases.

• Knowledge ofrisk modeling in large-scale financial or eCommerce systems.

• Ability to explain complex technical findings to non-technical stakeholders.

Additional Details

• Hybrid role (onsite in San Jose preferred; remote considered if local candidates unavailable).

• Contract-based position (approximately one year; may extend based on performance).

• Schedule: Monday–Friday, Pacific Time.

• Interview Process: 2–3 virtual interviews, including aSQL proficiency assessment.

If you have strong technical skills inSQL, Python, Tableau, AWS, and hands-on experience combatingfraud in digital or financial systems, we encourage you to apply today.