SanJoseCARecruiter Since 2001
the smart solution for San Jose jobs

Manager, Product Data Science

Company: PayPal
Location: San Jose
Posted on: January 24, 2023

Job Description:

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

When applying for a job you are required to create an account, if you have already created an account - click Sign In.

Creating an account will allow you to follow the progress of your applications. Our system does have some requirements that will help us process your application, below are some guidelines for creation of your account:

  • Provide full legal First Name/Family Name - this is important for us to ensure our future hires have the right system set up.
  • Please Capitalize first letter of your First and Last Name.
  • Please avoid using fully capitalized text for your First and/or Last Name.
  • NOTE: If your name is hyphenated or has multiple capitalization, please use the same format as your government ID.

    Job Description Summary:
    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 consumer growth and engagement. 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:


          Travel Percent:


          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 more information, visit .

          The U.S. national annual pay range for this role is
          $96900 to $234300

          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. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
          We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit

          Who We Are:
          Click Here to learn more about our culture and community.

          PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit

          PayPal 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. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .

          As part of PayPal's commitment to employees' health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

Keywords: PayPal, San Jose , Manager, Product Data Science, Executive , San Jose, California

Click here to apply!

Didn't find what you're looking for? Search again!

I'm looking for
in category

Log In or Create An Account

Get the latest California jobs by following @recnetCA on Twitter!

San Jose RSS job feeds