✦ Luna Orbit — Data & Analytics

Sr Data Scientist - Financial Crimes Detection, PayPal World

at PayPal Holdings

📍 2 Locations Hybrid 💰 $123K – $183K USD / year Posted April 03, 2026
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Position Details

Salary $123K – $183K USD / year
Type Full-Time
Experience senior
Exp. Years 5+ years
Education Bachelor's degree or equivalent experience
Category Data & Analytics

About this role

Sr Data Scientist on PayPal World platform's financial crimes detection program to design, build, and deploy AML/fraud monitoring capabilities; lead data pipelines and feature engineering in BigQuery; partner with compliance and product teams.

Key Responsibilities

  • Lead the development and implementation of advanced data science models
  • Design and implement transaction monitoring rules to detect money laundering and fraud
  • Develop and maintain feature engineering pipelines in BigQuery
  • Partner with data engineering teams to define data requirements
  • Build model validation frameworks for regulatory examination

Technical Overview

Focus on transaction monitoring, ML models (TensorFlow, XGBoost), SQL-based analysis, BigQuery and Snowflake data warehouses, and feature engineering pipelines; strong emphasis on data quality and regulatory alignment.

Ideal Candidate

The ideal candidate is a senior data scientist with 5+ years of AML/fraud detection experience, strong SQL and Python, hands-on with BigQuery/Snowflake, and ability to design transaction monitoring pipelines for cross-border platforms.

Must-Have Skills

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

Nice-to-Have Skills

Experience building AML/fraud detection models or transaction monitoring systemsExperience with graph-based analysisExperience with feature store designAirflow or similar orchestration toolsExperience with multi-wallet payment networks

Tools & Platforms

BigQuerySnowflakePandasscikit-learnAirflow

Required Skills

Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience; SQL; Python; BigQuery; Snowflake; BigQuery ML; TensorFlow; XGBoost; scikit-learn; Pandas; Airflow; AML regulatory frameworks (BSA/FinCENAUSTRACEU AMLDFATF); experience with multi-wallet payment networks; data pipelines; dashboards; analytics platforms

Hard Skills

SQLPythonBigQuerySnowflakeBigQuery MLTensorFlowXGBoostPandasscikit-learnAirflow

Soft Skills

MentoringCommunicationCollaborationAnalytical thinkingProblem solving

Industry & Role

Industry Fintech
Job Function Data scientist leading AML/fraud detection for PayPal World with emphasis on cross-border payment platforms
Role Subtype Data Scientist
Tech Domains Python, SQL / PostgreSQL, Google Cloud Platform, Airflow, TensorFlow, XGBoost, scikit-learn

Keywords for Your Resume

Sr Data Scientist - Financial Crimes DetectionPayPal WorldAMLfraud detectiontransaction monitoringBigQuerySnowflakeSQLPythonTensorFlowXGBoostscikit-learnPandasAirflowregulatory frameworksBigQuery MLGBQ ML

Deal Breakers

Less than 5 years AML/fraud detection experience, No Bachelor's degree or equivalent, No experience with SQL or Python, No exposure to BigQuery or Snowflake

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