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PayPal Data Scientist 
United States, California, San Jose 
922420434

18.08.2024


Job Description:

  • About You
    • We are seeking an exceptional Data Scientist for Pricing-FX Optimization Analytics team with a passion for data insights and relentless focus on execution:
    • You are curious and inquisitive: love digging into data and uncovering insights
    • You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling
    • You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance
    • You are a player-coach, and are not afraid of rolling up your sleeves and jumping into details
  • Your day to day:
    • Become a domain expert in Pricing & FX and conduct rigorous data analysis to drive meaningful financial benefit for PayPal without jeopardizing customer experience
    • Perform deep-dive analytics including Causal Inference analysis, Pre-Post analysis, Sensitivity analysis, financial projections, and additional ad-hoc exercises to provide holistic recommendations for segment level Pricing optimizations
    • Challenge the status quo, and drive data backed decision making
    • Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features
    • Identify key metrics, conduct rigorous explorative data analysis, create executive-friendly info-insight packets and build business cases that drive decision making and prioritization
    • Analyze business performance and health, triage issues, and provide recommendation on the best course solution and optimization
    • Synthesizing large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders
    • Collaborate with engineering and data engineering to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelines
    • Define and cultivate best practices in analytics instrumentation andexperimentation
    • Support multiple projects at the same time in a fast-paced, results-oriented environment
    • Mentor junior analysts on complex analyses
  • What do you need to bring:
    • 8+ years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
    • B.S. in a quantitative field, advanced degrees preferred
    • Fluent in SQL and scripting languages such as Python or R, comfortable working with large, complex, and potentially messy datasets
    • Understanding of statistics (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments
    • Exceptional communication skills, both written and verbal, to influence cross-functional teams
    • Strong interpersonal skills and experience leading cross-functional teams
    • Prior work experience in a product analytics space would be highly valued
    • A passion for problem-solving and comfort with ambiguity

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The U.S. national annual pay range for this role is

$96900 to $234300


Our Benefits:

Any general requests for consideration of your skills, please