Title : Data Scientist III
Job ID : PPALJP00012157
Location : San Jose CA OR Chicago IL
Client - PayPal
Interview Type : Video
EXP - 7+ Years
Visa : ny visa
Interview Type : Video
Duration : 18+ months (High possibility of extension)
Job Title : 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.