Manager, Data Science 2
USA - Illinois - Chicago - Corp - Merchandise Mart Plaza, 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 Summary:
We are seeking for a Manager of Data Science to join us as an exceptional problem solver with a passion for data insights and a relentless execution focus.This role task includes but not limited to managing new payment product launch, payment risk management and checkout experience enhancement for the Large Enterprise (LE) portfolio. This position resides in the Global Fraud Prevention organization that supports various business lines in optimizing risk and revenue to enable profitable business growth within risk appetite. Your work will focus on fraud risk management for LE segment, to support the business growth across world wide with key focus on the US and EU.
This position will be the end-to-end owner of LE portfolio fraud risk management through data driven strategies and decision accuracy optimization, as well as the opportunity to build up automated system/algorithm to automate solutions for risk control. The work is fast paced and intellectually challenged to solve complex business problems. This role combines strategy, analytics, operational practices, and business insights into one. Day-to-day duties include data analysis, monitoring and forecasting, creating/implementing/automating risk rules and strategies, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. This role also includes direct communication with external partners about risk data integration as well as best practice on risk management.
Job Description:
We are seeking for a Manager of Data Science to join us as an exceptional problem solver with a passion for data insights and a relentless execution focus.
This role task includes but not limited to managing new payment product launch, payment risk management and checkout experience enhancement for the Large Enterprise (LE) portfolio. This position resides in the Global Fraud Prevention organization that supports various business lines in optimizing risk and revenue to enable profitable business growth within risk appetite. Your work will focus on fraud risk management for LE segment, to support the business growth across world wide with key focus on the US and EU.
This position will be the end-to-end owner of LE portfolio fraud risk management through data driven strategies and decision accuracy optimization, as well as the opportunity to build up automated system/algorithm to automate solutions for risk control. The work is fast paced and intellectually challenged to solve complex business problems. This role combines strategy, analytics, operational practices, and business insights into one. Day-to-day duties include data analysis, monitoring and forecasting, creating/implementing/automating risk rules and strategies, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. This role also includes direct communication with external partners about risk data integration as well as best practice on risk management.
Scope of Responsibility:
- Design, develop and maintain data driven solutions for LE risk management. Makes sound decisions that balance risk, user experience and financial performance
- Develop automated system/process and algorithms that could streamline strategy/solution building process and generate good business results
- Guide and mentor group of team members on day-to-day delivery
- Partner with Product and Business Unit organization to meet Product launch roadmap deadlines as well as rising roadblocks
- Presentation to senior management within Risk and Business Unit, even external Partners on core strategy changes, integration requirement or risk management best practice
- Managing conversion rate, loss target and customer experience
Job Requirements:
- Strong analytical skills with hands on experience on predicative modeling, data mining, as well as analyzing large, multi-dimensional data sets
- Proven track record of driving results in a fast-paced and constantly changing environment
- Fluent in SQL/ R / Python/ Notebooks/ Teradata or other relational database languages is a must
- Experience with one or multiple following will be highly desirable: Jupyter, Hadoop/Hive, BigQuery
- Experience in Advanced Analytics and Machine learning is a big plus
- Polished communication and influence skills to collaborate with cross functional teams. Presenting in a clear and concise manner and reach alignment on how to execute risk strategies
- “Can-do” attitude, energetic personality, ability to work well under pressure in a fast-paced environment to meet deadlines
- Must handle multiple priorities with a strong attention to detail and should possess strong analytic and problem solving skills
- Excellent written, verbal, and presentation skills
- Data driven mindset with a Master’s or above degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics
- 7 years or plus working experience in Fintech/Payment industry/Risk Management/ consultancy
- At least 2 years of experience in managing analytics teams
Preferred Qualification:
Subsidiary:
PayPalTravel Percent:
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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 $176,500 to $262,350For 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: BigQuery Computer Science CX Data analysis Data Mining Economics Engineering FinTech Fraud risk Hadoop Jupyter Machine Learning Mathematics Python R RDBMS Security SQL Statistics Teradata
Perks/benefits: Career development Equity / stock options Flex hours Health care Insurance Salary bonus Wellness
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