Data Scientist

Data Scientist Fraud Analytics & Strategy (Hybrid | San Jose, California)

Overview:
We are seeking a Data Scientist, Fraud Analytics & Strategy to join a dynamic fraud risk and data science team. The ideal candidate has hands-on experience using data to detect fraud, design effective strategies, and build predictive models that enhance customer trust and minimize losses.

Responsibilities:

• Analyze large-scale data to identify and mitigate fraud trends

• Build, test, and refine data models and fraud detection rules

• Design and maintain dashboards and KPI reports (Tableau or AWS Quicksight)

• Collaborate with product and engineering to deploy fraud prevention strategies

• Present findings and business recommendations to leadership and stakeholders

Qualifications:

• Bachelor's degree in Data Analytics, Statistics, Mathematics, or a related field

• No more than 2 years of experience in data analytics, fraud risk, or data science

• Proficiency in SQL, Python, and Tableau (required)

• Strong analytical and problem-solving skills

• Excellent communication and storytelling abilities with data

• Based in or near San Jose, CA (remote considered for highly qualified candidates)

• U.S. citizen or authorized to work in the U.S. (no visa sponsorship)

Bonus Skills:

• AWS or cloud data tools (e.g., AWS Quicksight)

• Experience in the e-commerce, fintech, or payments industries

• Knowledge of fraud typologies and machine learning applications

Type: 12-Month Contract | Day Shift (M-F, PST) | Hybrid (San Jose, CA)