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