- Experience
- Not specified
- Pay
- Not disclosed
- Education
- Not specified
- Location
- Cupertino, California, United States
- Work mode
- On-site
- Job type
- Full-time
About this role
Apple Pay provides secure and seamless payment services globally. This role uses data science and analytics to optimize user experiences, detect fraud, and drive business insights for Apple Pay.
What you will do
- Analyze transaction and user behavior data for insights
- Build models for fraud detection and risk assessment
- Partner with product and engineering teams to shape Apple Pay features
- Design metrics and dashboards to track performance
What the employer expects
- Experience in data science or quantitative analysis
- Advanced SQL and Python programming skills
- Experience with financial services or fraud analytics
- Strong business acumen and communication skills
Skills
- Data Science
- Python
- SQL
- Analytics
- Fraud Detection
- Financial Services
- Statistical Analysis
- Machine Learning
Apply on the employer's site
The application opens on Apple careers page. Dev Portal Notes does not collect your application or charge a fee.
Know someone who fits this role?
Applications are handled on the employer's own site.
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