Manager, Product Data Science

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. 

Job Description Summary:

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 lead a high-performing team of data scientists, and 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 and your team 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.

Job Description:

About You

We are seeking an exceptional data science leader 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 
• You are passionate about mentoring, developing, and motivating a high-performing team to drive impact 

Your day to day:

• 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.
• 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 and experimentation
• Support multiple projects at the same time in a fast-paced, results-oriented environment
• Coach and mentor a small group of team members on day-to-day delivery

What do you need to bring:

• At least 7 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
• At least 2 years of experience in managing data science and analytics teams
• B.S. in a quantitative field, advanced degrees preferred
• Familiarity with 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

Additional Job Description:

Subsidiary:

PayPal

Travel Percent:

0

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PayPal is committed to fair and equitable compensation practices.

Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.

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