Data Scientist 2

What you need to know about the role:- The Device Intelligence team at PayPal is responsible for detecting and preventing fraudulent activity in customer touchpoints such as sign-up, login, payments, and post-payment activities. They achieve this by collecting signals from browsers and mobile apps and converting them into actionable insights. The team is now expanding its focus to also defend against automated attacks and disrupt the economics of cybercrime Meet our team:- Decision scientists are highly motivated team players with strong analytical skills who specialize in creating, driving and executing initiatives to mitigate fraud on PayPal's platform and improve the experience for PayPal's hundreds of millions of customers, while guaranteeing compliance with regulations. Our team Decision scientists are problem solvers suited to approach varied challenges in complex big data environments. As part of our day-to-day job, we are collaborating with a wide variety of partners in the company, such as product experts, data scientists and engineers to bring our analytical insights to life, impacting the experience and security of millions of users around the globe.

Your way to impact :-

• Device Intelligence is a critical part of PayPal's Risk Platform and in many ways considered the first line of defense against online fraudulent activity found in customer touchpoints such as sign-up, login, payments, and post-payment activities. In addition to its core capabilities of collecting signals from browsers and mobile apps and converting these signals into actionable insights to detect and prevent fraud, the Device Intelligence team is expanding its charter to be the first line of defense against automated attacks and in the process disrupt the economics of cybercrime.

• To achieve this vision of being the first line of defense against large-scale automated attacks, we are looking for an analytical and results-driven Decision Scientist to join the Device Intelligence team in Bangalore.

Your day to day:-

• Build large-scale end-to-end data science solutions, to combat fraud, which balances risk, user experience, and financial performance.

• Own the full lifecycle of a solution from the research phase to production.

• Provide regular updates to leadership, peers, and other stakeholders that simplify complex analytical research and insights into easy-to-follow actionable outcomes and drive impact for our customers, our stakeholders, and PayPal.

• Collaborate with cross-functional stakeholders including product managers, engineers, and information security researchers to translate business challenges into Data Science problems

• Look for improvement and innovation opportunities with business impact. Provide a source of high-quality ideas. 

What do you need to bring:-

· Minimum 4 years of relevant work experience

· Bachelor's Degree or above, or equivalent experience in a quantitative field (Engineering, Mathematics, Economics, Finance etc.)

· Strong in data science, analytical problem solving

· Proven experience with Python, SQL.

· Hadoop and big data experience -- an advantage

· Strong written, oral, and interpersonal skills a must, including the ability to explain and/or present analyses and convey complex ideas succinctly to all audiences

· Team player, responsible, delivery-oriented

· Excellent spoken and written English