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Data Scientist

Data Scientist

Kasmo GlobalDallas, TX, United States
18 hours ago
Job type
  • Full-time
Job description

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.

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