Sr Data Scientist

PayPal
Chicago
Workplace: OnsiteFull timeUSD 142,210 - 221,500 annuallyFunction: Data Science & Machine LearningExperience: 7+ yearsEducation: bachelorsSkills: ["Stakeholder communication","Data-driven decision-making","Analytical thinking","Problem-solving","Cross-functional collaboration"]

Develop and deploy advanced data science models to turn complex data into business insights for PayPal’s Small and Medium-sized Business (SMB) portfolio. You’ll extract and transform data to identify key business levers, build cause-and-effect relationships, and communicate findings to stakeholders. Work hands-on with credit exposure data to run sensitivity analysis and A/B testing for risk optimization, and produce clear, visual outputs for business review. Partial telecommuting is permitted within a commutable distance.

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FursaFursa
PayPal
PayPal
1 day ago

Sr Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Develop and deploy advanced data science models to turn complex data into business insights for PayPal’s Small and Medium-sized Business (SMB) portfolio. You’ll extract and transform data to identify key business levers, build cause-and-effect relationships, and communicate findings to stakeholders. Work hands-on with credit exposure data to run sensitivity analysis and A/B testing for risk optimization, and produce clear, visual outputs for business review. Partial telecommuting is permitted within a commutable distance.
Location: Chicago
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead development and implementation of advanced data science models.
  • •Extract, analyze, and transform data to produce tactical and strategic insights for SMB growth.
  • •Identify key business levers and establish cause-and-effect relationships to drive data-informed decisions.
  • •Continuously analyze credit exposure data and run sensitivity and A/B testing to optimize risk strategies.
  • •Create visually engaging, digestible data outputs for business leads to review.

Pay and Benefits

Salary: USD 142,210 - 221,500 annually
Equity and Bonus:Equity
Perks:Health InsuranceRetirementPaid LeaveLearning Budget

Key Requirements

  • •Bachelor’s degree (or foreign equivalent) in Information Science, Data Science, or a closely related field such as Electrical Engineering.
  • •7 years of progressively responsible experience in the role or a related occupation.
  • •Experience writing SQL in a professional environment.
  • •Hands-on experience with data analysis and exploration, descriptive statistics, and predictive modeling.
  • •Experience using Python with libraries such as Pandas and NumPy (or similar).
Experience:7+ yearsCredit riskFraud riskRisk assessmentA/B testingSMB acquisitionsPayments
Education:Bachelor's in Information Science, Data Science, or closely related field (e.g., Electrical Engineering)
Skills:Stakeholder communicationData-driven decision-makingAnalytical thinkingProblem-solvingCross-functional collaboration
Tech Stack:SQLPythonPandasNumPyAWSGoogle BigQueryTableauXGBoostRandom forestRegressionA/B testingData visualization

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