Upgrade
Senior Data Scientist - Flex Pay
San Francisco. Posted a month ago
The role
You will build predictive risk models, optimize offers and pricing, and extract insights for the Flex Pay sector. You will also build credit and fraud policy simulators and collaborate with cross-functional teams.
What you will do
- Build and maintain credit and fraud policy simulators.
- Build and deploy statistical models and machine learning algorithms.
- Validate models to identify factors that may affect model performance.
- Analyze large, structured and unstructured datasets using SQL, Python or similar tools.
- Research new tools and techniques available for model development.
- Collaborate with cross-functional teams to define data-driven strategies.
Required qualifications
- 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.
- Strong proficiency in Python (Pandas, Numpy, Scikit-learn) and SQL.
- Ability to write documentation and present analysis to people with different levels of expertise.
- Proactive, driven, and ability to work in a fast paced environment.
Nice to have
- Experience and/or strong interest in machine learning techniques (Random Forest, Gradient Boosted Trees, etc.)
- 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.
Benefits
- 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
About the company
Upgrade helps customers move in the right direction with affordable and responsible financial products. Since 2017, they have helped over 7.5 million customers access over $42 billion in consumer credit.