PayPal PayPal is a leading technology platform and digital payments company that enables digital and mobile payments on behalf of consumers and merchants worldwide. Its solutions include PayPal, PayPal Credit, Braintree, Venmo, Xoom, iZettle, and Paydiant products. PayPal is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our goal is to enable our consumers and merchants to manage and move their money anywhere in the world, anytime, on any platform and using any device. About the Role As a Data Science Associate Manager at PayPal, you will apply your leadership, 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
Leading a team of data scientists in the planning and delivery of analytic projects from start to finish
Providing mentorship, training, and career development to junior members of the team
Presenting strategy proposals, program updates and complex research findings to senior leadership in a clear and compelling manner that influences and inspires action 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 visualization 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 how we identify fraud.
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.
PayPal provides equal employment opportunity
