Sr Data Scientist at PayPal

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

23 Jan, 26

Salary

0.0

Posted On

25 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, SQL, Python, Advanced Excel, Tableau, Problem-Solving, Communication, Collaboration, Fraud Risk Management, Analytics, Stakeholder Engagement, Mentoring, Risk Assessment, KPI Reporting, Strategic Thinking, Creative Thinking

Industry

Software Development

Description

Lead the development and implementation of advanced data science models. Collaborate with stakeholders to understand requirements. Drive best practices in data science. Ensure data quality and integrity in all processes. Mentor and guide junior data scientists. Stay updated with the latest trends in data science. Work closely with Stakeholders: this includes Credit Risk, Product, finance teams to optimize fraud strategies and portfolio performance. In this role you will have full ownership of portfolio and is responsible for end-to-end management of Fraud loss and decline rates. Works independently and proficiently. Accountable for own results. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines. Analyze and assess risks to provide informed recommendations for mitigation strategies Prepare periodic KPI reports summarizing the business units' risk and control environment for senior management 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience. Excellent Problem-Solving Skills: Strong judgment and the ability to think strategically, creatively, and practically to address complex challenges. Advanced Analytics expertise: Proficiency in SQL, Python, Advanced Excel, Tableau, and other analytics tools, with a proven track record of using them to solve real-world problems. Exceptional communication skills: Outstanding written, verbal communication abilities, capable of translating complex technical concepts into clear, actionable insights for diverse audiences Collaboration & Influence: Strong ability to collaborate across teams, build relationships, and drive results through influence and teamwork Experience in Payments / Transaction risk management / Credit / Fraud Risk is a strong plus. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

Responsibilities

Lead the development and implementation of advanced data science models while collaborating with stakeholders to optimize fraud strategies and portfolio performance. Ensure data quality and integrity, mentor junior data scientists, and prepare KPI reports for senior management.