upgrade · San Francisco
Skills: Python, SQL
About the Role: We are seeking a highly analytical and results-driven Data Scientist to join our buy now pay later (BNPL) sector called Flex Pay. You will play a key role in building predictive risk models, optimizing offers and pricing, and extracting insights that drive product development, risk mitigation, and customer strategy. This role requires a strong foundation in statistics, machine learning, and programming. While this position is ideally based in our San Francisco office on a hybrid basis, we are also open to considering remote candidates. What You’ll Do : Build and maintain credit and fraud policy simulators used to ensure properly functioning systems and identify risk decisioning enhancements. Build and deploy statistical models and machine learning algorithms to solve business problems in areas like credit risk, fraud detection, pricing, customer segmentation, and marketing attribution. Validate models to identify factors that may affect model performance. Understanding of financial services concepts such as credit scoring, portfolio risk, or customer lifetime value. What We Offer You : Competitive salary and stock option plan Paid coverage of medical, dental and vision insurance Competitive 401(k) and RRSP program Flexible PTO Opportunities for professional growth and development Paid parental leave Health & wellness initiatives The compensation range of this position in San Francisco, CA is USD $100,000-$150,000 annually plus equity and benefits. Within this range, an individual's base pay will be dependent on a variety of factors, including without limitation, job-related knowledge, skills, education, and experience.
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