Staff Data Scientist

PayPal
Chicago
Workplace: HybridFull timeUSD 160,500 - 273,500 annuallyFunction: Data Science & Machine LearningExperience: 5-8 yearsEducation: mastersSkills: ["Communication","Stakeholder management","Problem-solving"]

Develop and deploy advanced data science models to power scalable, safe products for PayPal’s global customers. Automate manual workflows with AI, maintain and improve data-driven authentication risk strategies, and detect emerging fraud trends. Partner with ML modelers to create and validate risk detection models for the decision layer, define KPIs and measure performance, and collaborate as a subject matter expert with legal and compliance teams.

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FursaFursa
PayPal
PayPal
6 days ago

Staff Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Develop and deploy advanced data science models to power scalable, safe products for PayPal’s global customers. Automate manual workflows with AI, maintain and improve data-driven authentication risk strategies, and detect emerging fraud trends. Partner with ML modelers to create and validate risk detection models for the decision layer, define KPIs and measure performance, and collaborate as a subject matter expert with legal and compliance teams.
Location: Chicago
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead the development and implementation of advanced, scalable and safe data science models.
  • •Develop AI solutions to automate manual processes and reduce dependency on human resources.
  • •Maintain and enhance data-driven authentication risk strategies to support PayPal’s global financial goals.
  • •Identify emerging fraud trends, partner with stakeholders to mitigate risk, and work with ML modelers to develop and validate risk detection models.
  • •Establish and measure performance against KPIs and serve as a subject matter expert with legal and compliance partners.

Pay and Benefits

Salary: USD 160,500 - 273,500 annually
Equity and Bonus:Equity
Perks:Health InsurancePaid LeaveLearning Budget

Key Requirements

  • •Master’s degree (or foreign equivalent) in a relevant field (Economics, Finance, Computer Science, Statistics, Business Analytics, or Engineering with a Data Science specialization) plus 5 years of experience in the role or related occupation, or a Bachelor’s degree plus 8 years.
  • •Proficiency in data analytics using SQL, including writing and optimizing complex SQL queries to extract actionable insights.
  • •Experience building dashboarding and visualization using Tableau or Power BI to monitor KPIs, identify behavior trends, and alert on anomalies.
  • •Hands-on experience with big data tools and cloud platforms such as BigQuery, Google Cloud Platform, and Jupyter notebooks for reproducible and scalable analysis.
  • •Strong programming and ML capabilities, including Python for large-scale data processing and assessment of machine learning models for classification/regression, feature engineering, and alignment with business goals.
Experience:5-8 years
Education:Master's
Skills:CommunicationStakeholder managementProblem-solving
Tech Stack:SQLTableauPower BIBigQueryGoogle Cloud PlatformJupyter notebookPythonMachine LearningA/B testingNatural Language ProcessingGen AI

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

PayPal
Global online payments platform enabling digital and mobile payments, money transfers, and merchant services for consumers and businesses, supporting e‑commerce transactions across multiple currencies and payment methods.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1998
WebsiteLinkedIn