Data Scientist 1 (San Jose) Job at PayPal, San Jose, CA

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  • PayPal
  • San Jose, CA

Job Description

1 day ago Be among the first 25 applicants

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.

,

PayPals Decision Scientists deeply understand our business objectives and the potential for financial impact through Fraud Risk Management. As a Data Scientist, you will collaborate with a team that builds strategy for fraud prevention, partners to deliver solutions, and provides analytics and governance over financial and operational metrics. These solutions will adapt PayPals advanced proprietary fraud prevention and experience mechanisms in enabling growth.

In your day-to-day role you will:

Design : Create solutions for sound decisions which balance risk, user experience and financial performance.

Planning : Develop fraud detection strategies using ML models, data mining and analytical deep dives, build new product experiences to support PayPals growth while maintaining consistency across financial and reputational risks.

Collaboration : Build collaborative partnerships between Data Science and the core teams and business partners to enable solution delivery and meet business objectives.

Technical : SQL, Python, BigQuery R, Tableau and data visualization proficient with strong analytical and problem skills. Understanding of machine learning and statistical concepts

Culture : Communication, trust, and patience to build data-driven solutions addressing complex business problems across cross-functional teams.

Strong business acumen; self starter who thrives in a fast environment.

Communication : Ability to translate data-driven insights into relevant stories and make decisions even if the data and solutions are ambiguous.

Education : BS/BA degree in Mathematics Statistics, Operations Research, Engineering, Economics or related quantitative discipline or equivalent with 3+ years experience.; Masters degree and 2+ years related professional work experience

Industry experience in payments, e-commerce, or financial services is advantageous.

, We are seeking a highly analytical and detail-oriented Fraud Data Scientist to join our team. In this role, you will play a critical part in identifying, preventing, and mitigating fraudulent activity across our platforms. You will leverage advanced data analytics, machine learning, and statistical techniques to detect fraud patterns, design real-time detection systems, and support fraud investigation teams with actionable insights.

Seniority level

  • Seniority level

    Not Applicable

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology
  • Industries

    Software Development, Financial Services, and Technology, Information and Internet

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Job Tags

Full time, Work experience placement, Summer work,

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