Data Scientist 2

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.
**Job Description**:
**_ Primary Responsibilities:_**
- Work closely with multiple large & strategic customers to consult, design, develop and manage real-time end-to-end fraud risk solutions that not only solve emerging fraud trends but also provide a great experience to end customers
- Mentor and coach junior Data Scientists and Decision Scientists on data analysis, machine learning, design and implementation of fraud detection strategies
- Analyze and transform data using RaaS’s platforms to identify fraud patterns and optimize the systems to flag these patterns.
- Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real-time for end customers
- Lead and participate in special initiatives: innovate and implement large-scale quality improvements to processes and/or systems by conducting data analysis and making recommendations, troubleshooting technical issues, and refining processes.
- Identify areas of improvement in internal systems and product, design and project manage solutions end to end
- Independently execute projects end to end, while also mentoring and guiding junior team members, with a strong people-oriented mindset
- Make business recommendations to the executive and cross-functional teams with effective presentations of findings at multiple levels of stakeholders
- Collate feedback from clients and work with cross-functional teams to recommend, design, and implement new product features
- Work with engineering teams to ensure best practices are followed for product deployment and solution implementation
- Train the customer on how to understand fraud trends and the use of PayPal RaaS’s product.
- Improve the products with innovative ideas driven by customer feedback; work with the product development team to incorporate the feedback into the platforms.
**_ Qualifications and Experience_**_:_
- Bachelor’s Degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
- A minimum of 7 years of experience in advanced Data Analysis, Research, Risk and Fraud Investigation, or Internet Industry
- Experience with leading, mentoring, and coaching junior team members on data science, data analysis, and designing, implementing projects end to end
- Experience with Python, SQL, R, or JavaScript
**_ Preferred Experience_**_:_
- MS/Ph.D. Degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
- Experience in two or more of the following areas: eCommerce, finance, banking, online payments, user trust/risk/fraud investigation/product abuse
- Project Management experience and attention to detail with the ability to get things done.
- Strong process improvement, prioritization, and multi-tasking capabilities
- Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, charisma, and ability to work with your team to make a big impact
- Knowledge of database structures and/or working with Unix/Linux
- Outstanding leadership, influencing, communication, interpersonal, and teamwork skills
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.
Who We Are:
As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

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