Manager, Data Science 1
USA - California - San Jose - Corp - N First St, United States
PayPal
PayPal on nopeampi ja turvallisempi tapa lähettää rahaa, maksaa verkossa, vastaanottaa rahaa tai luoda kauppiaan tili.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 Description Summary:
Job Description:
PayPal, Inc. seeks Manager, Data Science 1 in San Jose, CA
Job Duties: Lead and manage a team of employees providing guidance, support, and mentorship to deliver the key strategic initiatives in fraud risk management. Support multiple high-impact strategic initiatives in Venmo Risk domain, develop and continuously enhance risk management controls. Lead analytical projects, while setting goals, providing benefit estimations, defining workflows and coordinating timelines in advance. Lead a team to manage risk strategy for Venmo by analyzing existing loss trends through review of specific cases, research on PayPal’s payments database and incorporation of feedback from operations teams, producing accurate, automated risk solutions and manual handling policies to block fraudulent activities by declining payments, adding accounts to the fraud review queue or restricting suspicious users, and developing controls and monitoring dashboards to ensure performance against business goal, regulatory requirements, and business priorities. Work closely with product teams on development of new products to identify potential gaps that might create loss and define requirements to mitigate those risks. Work with various partners within Venmo and PayPal to coordinate the execution of fraud mitigation solutions. Partial telecommuting permitted from a commutable distance.
Minimum Requirements: Master’s degree, or foreign equivalent, in Statistics, Economics, Finance, or a closely related field plus three years of experience in the job offered or a related occupation.
Special Skill Requirements:
SQL - Proficient in writing complex SQL queries to extract, transform, and analyze large datasets for daily loss monitoring and ad-hoc analysis. (3 year/s) Python - Proficient in Python for efficient data manipulation, data mining, modeling, machine learning and data visualization. (3 year/s) Statistical Analysis - Proficient in statistical method and techniques to analysis data, identify trends, and make data-driven recommendations. (3 year/s) Hadoop - Proficient in utilizing Hadoop for processing and analyzing large datasets in a distributed computing environment. (3 year/s) Tableau - Proficient in Tableau in creating interactive dashboards and reports to visualize and monitor key loss metrics. (3 year/s) Hive - Competent in writing Hive queries to process and analyze data stored in Hadoop Distributed File System (HDFS). (3 year/s) VBA - Proficient in VBA for automating data processing and reporting tasks. (3 year/s) Fraud Analytics - Fraud Analysis and risk analysis experience to identify and analyze the existing loss trends and mitigate loss by applying effective solutions and controls. (3 year/s) Experienced in data visualization tasks using R environment. (3 year/s)
EOE, including disability/vets.
Must be legally authorized to work in the U.S. without sponsorship.
Additional Job Description:
Salary: $180,128.00-259,600.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.
PayPal is committed to fair and equitable compensation practices. The total compensation for this position includes standard company benefits and is based on various factors including but not limited to relevant skills and experience. Your recruiter can share more information about our total compensation package during the hiring process.
Subsidiary:
PayPalTravel Percent:
0For 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.
Tags: Data Mining Data visualization Economics Finance Fraud risk Hadoop HDFS Machine Learning Python R Research Security SQL Statistics Tableau
Perks/benefits: Career development Equity / stock options Flex hours Health care Insurance Team events Wellness
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