Senior Data Scientist - Flex Pay

About this role

• **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.
• * Analyze large, structured and unstructured datasets using SQL, Python or similar tools.
• * Stay up to date with the latest trends and technologies in data science and fintech, actively research new tools and techniques available for model development.
• * Collaborate with cross-functional teams including risk, marketing, product, and engineering to define data-driven strategies.
• **What We Look For**: * Advanced Degree (MS/PhD) in Data Science, Statistics, Mathematics, Computer Science, Finance, or a related quantitative discipline.
• * 3-5+ years of hands-on experience in a data science or analytics role, preferably in financial services.
• * Experience and/or strong interest in machine learning techniques (Random Forest, Gradient Boosted Trees, etc.) strongly preferred.
• * Strong proficiency in Python (Pandas, Numpy, Scikit-learn) and SQL.
• * Ability to write documentation and present analysis to people with different levels of expertise (e.g., technical staff, business leads, etc.).
• * Proactive, driven, and ability to work in a fast paced environment.
• **Nice to Have**: * Experience with data visualization tools (e.g., Tableau, Power BI).
• * Experience with AI tools such as Claude * Experience with data technologies like PySpark.
• * 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.*

Key skills & tools

View & apply

Links open in a new tab. jobhustl never applies on your behalf - you always go to the employer.