Expoint – all jobs in one place
The point where experts and best companies meet
Limitless High-tech career opportunities - Expoint

PayPal Sr Data Scientist 
India, Karnataka, Bengaluru 
998314721

Yesterday

Essential Responsibilities:

  • Lead the development and implementation of advanced data science models.
  • Collaborate with stakeholders to understand requirements.
  • Drive best practices in data science.
  • Ensure data quality and integrity in all processes.
  • Mentor and guide junior data scientists.
  • Stay updated with the latest trends in data science.

Minimum Qualifications:

  • Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualification:

  • Strong working knowledge of Excel, SQL and Python/R
  • Partner with Product Managers and Engineers to define test hypotheses, success metrics, and experimentation frameworks
  • Proactively identify opportunities for experimentation to optimize conversion rates, revenue, and user enablement
  • Maintain documentation of experiments and contribute to building a culture of data-informed decision making
  • Exploratory Data Analysis and expertise in preparing a clean and structured data for model development
  • Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.)
  • Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts
  • Payments fraud domain knowledge is highly preferred, with an understanding of transaction flows, payment systems, and common fraud tactics.
  • Experience in conducting & analyzing A/B tests to evaluate the impact of fraud detection models and mitigation strategies.
  • Familiarity with common fraud data sources such as transactions, user behavior logs, device metadata, and third-party data

Our Benefits:

Any general requests for consideration of your skills, please