Senior Product Data Scientist

PayPal - Austin, TX

Full-time - Senior

Austin, TX

Credit Intermediation and Related Activities

About the position

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling, and shopping personalized and secure. Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal's active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying, or getting paid. In this role, you will bring the analytical rigor required to solve complex, ambiguous, and high-visibility business challenges to drive growth, engagement, and Merchant Integrations of PayPal Checkout. You will work cross-functionally with senior leaders from product, engineering, design, and marketing teams to build world-class products by making strategic recommendations via investigative deep-dives and hypothesis-driven experiments. We are seeking an exceptional data science leader with a passion for data insights and a relentless focus on execution. You are curious and inquisitive, love digging into data and uncovering insights, and 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.

Responsibilities

• 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 facing dashboards and build business cases that drive decision making and business prioritization
• Analyze consumer product performance and health, triage issues, and provide recommendation on the best course solution and optimization
• Synthesize 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 and experimentation
• Support multiple projects at the same time in a fast-paced, results-oriented environment
• Mentor junior analysts on complex analyses

Requirements

• At least 5 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 at least one scripting language 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

Benefits

• Flexible work environment
• Employee shares options
• Health insurance
• Life insurance