Job Description
At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives. We’re a purpose-driven company, and our beliefs are the foundation of how we conduct business every day. We’re guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Collectively, these values inspire us to work together as One Team with our customers at the center of everything we do, and to take care of ourselves, each other, and the communities in which we live and work. We challenge the status quo, ask questions, and find solutions. Join us as we enable the hopes, dreams, and ambitions of millions of people around the world.
As a Senior Data Scientist at PayPal, you will apply your strategic and analytical skills to major company challenges. You will act as a business consultant to drive recommendations and implement solutions that ultimately impact the bottom line. And you will do it all by collaborating with a global team of colleagues across sales, operations, product, data science, and finance in an environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.
Your Day-to-day Will Involve
- Using modeling and analytics to understand how business decisions impact our bottom line. This may include assessing risks of new products, determining fraud policies, or identifying inefficiencies in existing operations
- Ensuring the team is delivering on our KPIs by using various data mining and data visualisation tools to monitor portfolio performance and identify improvement opportunities
- Developing hypotheses and set up your own problem frameworks to test for the best solutions. You will also scope the operational feasibility, lead implementation efforts, and monitor the success of your solutions
- Leveraging data analysis tools and technologies. For example, using machine learning to determine new fraud trends
- Creating new solutions rooted in empathy and research that assist all customers as they work to better manage their finances
- Collaborating in a team environment. As part of our crew, you will learn to energetically rally diverse groups in pursuit of a common goal
The Ideal Candidate Is
- Innovative & Curious - You have the desire and ability to connect and empathize with our customers. You have an entrepreneurial spirit and get excited about creating new businesses and reinventing current ones. You ask why, explore, and bring your unique perspective to the table.
- Analytical & Action-Oriented - You are data driven and outcome focused. You grow comfortable with ambiguity, fueled by a hunger to learn and constantly seeking out new challenges. You have a desire to take action, try new things, and sometimes fail. You persevere but know when to change course and are up for juggling multiple deliverables.
- Collaborative & Team-Oriented - You always keep the people around you informed and are excited to communicate complex ideas clearly to make sure your co-workers understand the “why” behind their work and their key priorities.
- Inclusive - You will empathize with those around you and care about their success, as you bring people together around what’s possible.
- Bachelor’s degree or higher in a quantitative field (Business, Math, Economics, Finance, Statistics, Science, Engineering)
- At least 1 year of work experience in analysis or consulting
- Experience with or willingness to learn data extraction, analysis, and visualisation tools such as SQL, R, Python, Tableau
