Data Scientist

Data Scientist III

Location: San Jose CA OR Chicago IL Client - PayPal Interview Type: Video EXP - 7+ Years

Visa: Any visa Interview Type: Video Duration: 18+ months (High possibility of extension)

ToSkills:

BigQuery, Python Understand the production systems architect and offline data overview Machine Learning experience

What You'll Do

• Analyze and interpret complex data sets to derive actionable insights and inform decision-making.
• Perform the statistical analysis on the feature transformation and business impact analytics
• Standardize rules and decision processes while enabling dynamic rule updates and analytics within the fraud detection platform.
• Collaborate across multidisciplinary teams in engineering, product development, and data science to scale solutions globally.

Test and evaluation; Processing and governance, monitoring; Data analysis, decision engine serving 80+ checkpoint – lots of data sending through and we want to make sure all the rules within that checkpoint perform with a high quality and if something goes wrong, we need to do some analysis and automation.

• Tasks will be distributed via our Jira board/sprint planning/grooming cycle.
• Team will have a regular standup on each task (at least twice a week but open for daily if needed or any blockers)
• During the onboarding, it would require more interactions with Engg/Product/US Risk core teams but once onboarded, it would be 50/50.
• Team work mostly within Jira board from tasks assignments and tracking.
• Code would be in our centralized github repo.
• Updates/documentation would be either in wiki page or our sharepoint/share drive.
• You would get chance to design and implement scalable solutions to optimize fraud detection systems, spanning model development, feature engineering, and rule-based systems. You will collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to ensure our platform sets a new global standard for efficacy and innovation.
• You will address critical business challenges, develop advanced automation frameworks, and integrate cutting-edge machine learning techniques to enhance decision-making capabilities. By joining us, you will not only contribute to PayPal's fraud detection efforts but leave a lasting impact on the financial security of millions of users around the globe.

Nice to Have: Risk and Fraud experience or business acumen; experience working directly with engineers Years of Experience: 6+ Degrees or Certifications: Masters preferred, solid BS is fine.