Data Science Manager

3 Months ago • 8 Years + • Data Analyst

Job Summary

Job Description

PayPal seeks a Data Scientist with 8+ years of experience analyzing large datasets, expertise in Pricing & FX, and strong communication skills to drive financial benefit through data-driven insights. Must have experience in product analytics and causal inference analysis.
Must have:
  • Data Analysis
  • Pricing & FX
  • Product Analytics
  • Causal Inference
Good to have:
  • FinTech
  • Ecommerce
  • Cross-border Payments
  • SQL & Python
Perks:
  • Flexible Work
  • Employee Shares

Job Details

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:

The Merchant Pricing-FX Analytics & ML team at PayPal is looking for a Data Scientist.

Job Description:

Job Title: Staff FX Data Scientist

Meet our Team:

The Merchant Pricing-FX Analytics & ML team at PayPal plays a critical role in driving acceleration for PayPal’s top and bottom line by using the scientific method to advocate for decisions founded in data-driven insights. This team sits at the intersection of Strategy, Product, and Sales, and has a front-row seat to Senior Leadership discussions on PayPal’s monetization strategy.

Your Way to Impact:

Seeking a Data Scientist for Pricing & FX Optimization Analytics team who is enthusiastic about problem-solving, adept at generating valuable insights from data through deep dive analysis, experienced at evaluating performance of pricing strategies and initiatives by establishing test and control plans and ensuring constant monitoring is in place.

Your Day-to-Day 

  • Become a domain expert in Pricing & FX and conduct rigorous data analysis to drive meaningful financial benefit for PayPal without jeopardizing customer experience
  • Perform deep-dive analytics including Causal Inference analysis, Pre-Post analysis, Sensitivity analysis, financial projections, and additional ad-hoc exercises to provide holistic recommendations for segment level Pricing optimizations
  • Challenge the status quo, and drive data backed decision making 
  • Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features 
  • Identify key metrics, conduct rigorous explorative data analysis, create executive-friendly info-insight packets and build business cases that drive decision making and prioritization 
  • Analyze business performance and health, triage issues, and provide recommendation on the best course solution and optimization 
  • Synthesizing large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders 
  • Collaborate with engineering and data engineering to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelines 
  • Define and cultivate best practices in analytics instrumentation and experimentation 
  • Support multiple projects at the same time in a fast-paced, results-oriented environment 
  • Mentor junior analysts on complex analyses 

What You Need to Bring   

  • A successful candidate will have at least 8+ years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
  • Experience with product analytics is required
  • Experience with Pricing & FX within Data Science is required
  • FinTech or ecommerce experience within FX is preferred
  • Experience with cross border payments or transactions is a plus
  • Fluent in SQL and scripting languages such as Python or R, comfortable working with large, complex, and potentially messy datasets
  • Understanding of statistics (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments
  • Exceptional communication skills, both written and verbal, to influence cross-functional teams 
  • Strong interpersonal skills and experience leading cross-functional teams  
  • Prior work experience in a product analytics space would be highly valued 
  • A passion for problem-solving and comfort with ambiguity 
  • A B.S. in a quantitative field or advanced degrees preferred 

Additional Job Description:

Subsidiary:

PayPal

Travel Percent:

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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