Senior Product Data Scientist

Company: Braintree
Location: San Jose
Posted on: September 1, 2024

Job Description:

The CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness.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. 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.Job Description:About YouWe 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 detailsYour 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
  • Mentor junior analysts on complex analysesWhat do you need to bring:
    • 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 ambiguityAdditional Job Description:Subsidiary: PayPalTravel Percent: 0PayPal 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.The U.S. national annual pay range for this role is $84500 to $204600.For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace.Our Benefits:At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life.Commitment to Diversity and InclusionPayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.
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Keywords: Braintree, San Jose , Senior Product Data Scientist, Other , San Jose, California