VP, Product Data Science

USA - California - San Jose - Corp - N First St, United States

PayPal

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The Company

PayPal 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.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 

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. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

The Vice President (VP) of Product Data Science is a senior leadership position responsible for guiding the data science strategy within an organization, particularly in relation to product development and optimization. This role combines technical expertise in data science with strategic business acumen to drive data-driven decision-making and enhance product performance.

Job Description:

Key Responsibilities

Strategic Leadership

  • Develop and implement data science strategies that align with the company's overall business goals.  

  • Collaborate with other executives to identify opportunities for leveraging data to drive growth and efficiency.

Team Management

  • Lead and mentor a team of data scientists and analysts, fostering a culture of innovation and continuous improvement.  

  • Ensure the team is equipped with the necessary tools and training to succeed.

Data Governance and Compliance

  • Oversee data governance policies to ensure compliance with regulations and best practices.  

  • Implement data quality standards and practices to maintain the integrity of data used in decision-making.

Advanced Analytics and Insights

  • Utilize advanced analytics techniques, including machine learning and predictive modeling, to extract actionable insights from data.  

  • Present findings to stakeholders to inform product development and marketing strategies.

Cross-Functional Collaboration

  • Work closely with product management, marketing, and operations teams to identify data-driven opportunities for product enhancements.  

  • Facilitate communication between technical teams and non-technical stakeholders to ensure alignment on objectives.

Required Skills & Qualifications

  • Educational Background: Typically requires a Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field.

  • Experience: Significant experience in data science, analytics, or a related field, with a proven track record in a leadership role.

  • Technical Skills: Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).

  • Business Acumen: Strong understanding of business operations and the ability to translate data insights into strategic recommendations.

Preferred Qualification:

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 more information, visit https://www.paypalbenefits.com.

The US national annual pay range for this role is $0 to $0

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, ensuring that you equally have the benefits and conveniences of both locations.

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 https://www.paypalbenefits.com.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion 

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 talentaccommodations@paypal.com.

Belonging at PayPal: 

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Product Jobs

Tags: Computer Science Data analysis Data governance Data quality Machine Learning Predictive modeling Python R Security SQL Statistics

Perks/benefits: Career development Equity / stock options Health care Insurance Salary bonus Wellness

Region: North America
Country: United States

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