Data Scientist - Payments Risk Management & Data Analytics

PayPal

San Jose, California, USA
Primary location: san jose, california | ($116,500...
3d onsite
Develop and implement data science models
Analyze and interpret complex data sets
Ensure data quality and integrity
Develop and implement data science models and algorithms to support business needs, working with stakeholders to understand data requirements and deliver solutions

Job Summary

  • Develop and implement data science models and algorithms to support business needs, working with stakeholders to understand data requirements and deliver solutions.
  • Develop dashboards and data visualizations to monitor payments risk trends, support development and maintenance of KRIs and KPIs, and analyze data to identify anomalies.
  • PayPal offers comprehensive, choice-based programs to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most.

Matching Summary

Develop and implement data science models and algorithms to support business needs, working with stakeholders to understand data requirements and deliver solutions.

Salary

Primary Location: San Jose, California | ($116,500.00 - $173,250.00 Annually); Additional Location(s): Chicago, Illinois | ($106,000.00 - $157,300.00 Annually), Austin, Texas | ($106,000.00 - $157,300.00 Annually), Scottsdale, Arizona | ($100,500.00 - $149,600.00 Annually); Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

Skills & Requirements

Must-have

  • Develop and implement data science models
  • Analyze and interpret complex data sets
  • Ensure data quality and integrity
  • Optimize data processes for efficiency
  • Perform advanced statistical analysis
  • Working proficiency in SQL
  • Familiarity with Python and BI tools

Nice-to-have

  • Develop dashboards and data visualizations
  • Monitor payments risk trends
  • Identify anomalies and emerging risks
  • Translate analytical findings into insights
  • Eagerness to learn payments risk frameworks
  • Simplify analytical findings into clear narratives

Key Requirements

  • 1+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience
  • Foundational experience in data analysis and risk monitoring
  • Strong attention to detail and ownership of deliverables
  • Ability to work collaboratively in a cross-functional environment
  • Experience analyzing large datasets (payments or fintech experience preferred but not required)

Work Rights

Not specified

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