✦ Luna Orbit — Data & Analytics

Staff Data Scientist

at PayPal Holdings

📍 2 Locations Hybrid 💰 $160K – $238K USD / year Posted March 22, 2026
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Position Details

Salary $160K – $238K USD / year
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

About this role

This role involves developing data science models and analytics solutions to support risk and compliance functions within PayPal, leveraging large-scale data tools and techniques.

Key Responsibilities

  • Develop data science models
  • Collaborate with stakeholders
  • Ensure data quality
  • Drive analytics initiatives
  • Support risk management

Technical Overview

The technical environment includes SQL, Python, BigQuery, Tableau, ETL pipelines, and data analytics methodologies, with a focus on scalable, data-driven solutions in fintech.

Ideal Candidate

The ideal candidate is a mid-level data scientist with 3+ years of experience in analytics, data engineering, and machine learning, preferably within fintech or risk environments. Strong skills in SQL, Python, and data visualization tools are essential.

Must-Have Skills

SQLPythonETL pipelinesData analyticsA/B testing

Nice-to-Have Skills

BigQueryTableauData engineeringfintech experienceRisk and Regulatory environment

Tools & Platforms

BigQueryTableauSQLPython

Required Skills

SQLPythonBigQueryTableauETL pipelinesA/B testingData analyticsData engineering

Hard Skills

SQLPythonBigQueryTableauETL pipelinesA/B testingData analyticsData engineering

Soft Skills

communicationcollaborationproblem-solvinganalytical thinkingteamwork

Industry & Role

Industry Fintech
Job Function Data science and analytics for risk and compliance
Role Subtype Data Scientist
Tech Domains SQL / PostgreSQL, Python, Tableau, BigQuery

Keywords for Your Resume

Data ScientistSQLPythonBigQueryTableauETL pipelinesA/B testingData analyticsfintechRisk managementData engineeringhybridmachine learninganalyticsdata modelingscalable solutionsdata scientistsqlpythonbigquerytableauetl pipelinesab testingdata analyticsrisk management

Deal Breakers

Lack of experience with SQL or Python, No experience in fintech or risk environments, Less than 3 years of relevant experience

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