PayPal Data Scientist 

United States, California, San Jose 

922420434

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