Data Scientist

PayPal•Austin, TX

49d•Hybrid

About The Position

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: This job will develop and implement data science models and algorithms to support business needs. You will work with stakeholders to understand data requirements and deliver solutions. Your role involves ensuring data quality, optimizing data processes, and collaborating with cross-functional teams. Job Description: Essential Responsibilities: Develop and implement data science models and algorithms. Analyze and interpret complex data sets. Ensure data quality and integrity. Collaborate with stakeholders to understand data requirements. Optimize data processes for efficiency and performance. Perform advanced statistical analysis and reporting. Expected Qualifications: Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience. Additional Responsibilities & Preferred Qualifications: Summary: What you need to know about the role Global Fraud Prevention resides in the Global Risk Management (GRM) organization that supports various business lines in optimizing risk and rewards to enable profitable business growth You will work with a team of global risk professionals focusing on managing the Americas acquisition strategies to support the growth of Small Medium Business (SMB) line of business Globally Meet our team: This role reports to the Senior Manager of Global SMB Onboarding Risk Management. In addition, you will work closely with SMB business leaders, Risk Products, Decision Science, Fraud Operations, and Engineering to execute on the acquisition risk management roadmap that you and your team will develop to mitigate 3rd party fraud and 1st party abuse as well as money movement risks. Job Description: Your way to Impact You will provide solutions to address tactical and strategic business problems with your strong analytical skills and support the profitable growth of SMB portfolio. You will work closely with business stakeholders to develop an acquisition roadmap to support profitable business growth and trade-offs. Defining team objectives and executing on those objectives to drive profitable growth across the different regions, with particular focus in the American region Your day-to-day In your day-to-day role you will: Conduct thorough analysis with all available data tools and provide detailed insights which can be transformed into risk strategies that balances risk/reward trade-offs. Set up detailed portfolio monitoring to ensure there is no fraud pressure and work with peers to mitigate fraud with a high level of urgency. Continuously manage credit exposure and conduct sensitivity testing to optimize strategy. Work closely to evaluate internal models and implement them in our risk strategies. Partner with product and platform team to execute risk strategies and conduct A/B testing to optimize onboarding funnel. Be the voice of risk management and help solve complex problems within defined risk box

Requirements

Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.
2+ years of experience in financial technology, banking, or payments in developing and implementing risk strategies to mitigate losses.
Strong knowledge in data analytics to extract, analyze and transform data into risk strategy recommendations for profitable business growth.
Knowledge of existing/emerging regulatory frameworks related to consumer and SMB acquisition.
Well organized, with the ability to thrive in a fast-paced work environment and manage numerous projects simultaneously under deadline pressure
A high level of intellectual, professional, and interpersonal agility/flexibility, combined with strong analytical/problem-solving skills
Demonstrated ability to build/maintain relationships with key stakeholders to execute the risk roadmap.
Strong communication skills in explaining complex matters in a simple and clear manner.

Nice To Haves

Having experience in a Fintech working with Product and Engineering organization is a plus

Responsibilities

Develop and implement data science models and algorithms.
Analyze and interpret complex data sets.
Ensure data quality and integrity.
Collaborate with stakeholders to understand data requirements.
Optimize data processes for efficiency and performance.
Perform advanced statistical analysis and reporting.
Conduct thorough analysis with all available data tools and provide detailed insights which can be transformed into risk strategies that balances risk/reward trade-offs.
Set up detailed portfolio monitoring to ensure there is no fraud pressure and work with peers to mitigate fraud with a high level of urgency.
Continuously manage credit exposure and conduct sensitivity testing to optimize strategy.
Work closely to evaluate internal models and implement them in our risk strategies.
Partner with product and platform team to execute risk strategies and conduct A/B testing to optimize onboarding funnel.
Be the voice of risk management and help solve complex problems within defined risk box