Data Scientist at PayPal

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

0.0

Posted On

04 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Data Analytics, Statistical Analysis, Risk Management, Fraud Mitigation, Credit Exposure Management, A/B Testing, Stakeholder Collaboration, Data Quality, Data Integrity, Portfolio Monitoring, Sensitivity Testing, Communication Skills, Analytical Skills, Problem-Solving Skills, Organizational Skills

Industry

Software Development

Description

Develop and implement data science models and algorithms. Analyze and interpret complex data sets. Ensure data quality and integrity. Collaborate with stakeholders to understand data requirements. Optimize data processes for efficiency and performance. Perform advanced statistical analysis and reporting. In your day-to-day role you will: Conduct thorough analysis with all available data tools and provide detailed insights which can be transformed into risk strategies that balances risk/reward trade-offs. Set up detailed portfolio monitoring to ensure there is no fraud pressure and work with peers to mitigate fraud with a high level of urgency. Continuously manage credit exposure and conduct sensitivity testing to optimize strategy. Work closely to evaluate internal models and implement them in our risk strategies. Partner with product and platform team to execute risk strategies and conduct A/B testing to optimize onboarding funnel. Be the voice of risk management and help solve complex problems within defined risk box Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience. 2+ years of experience in financial technology, banking, or payments in developing and implementing risk strategies to mitigate losses. Strong knowledge in data analytics to extract, analyze and transform data into risk strategy recommendations for profitable business growth. Knowledge of existing/emerging regulatory frameworks related to consumer and SMB acquisition. Having experience in a Fintech working with Product and Engineering organization is a plus Well organized, with the ability to thrive in a fast-paced work environment and manage numerous projects simultaneously under deadline pressure A high level of intellectual, professional, and interpersonal agility/flexibility, combined with strong analytical/problem-solving skills Demonstrated ability to build/maintain relationships with key stakeholders to execute the risk roadmap. Strong communication skills in explaining complex matters in a simple and clear manner.

Responsibilities

Develop and implement data science models and algorithms while analyzing complex data sets. Collaborate with stakeholders to optimize data processes and ensure data quality.