Senior Data Scientist
Skills
Analytical SkillsBusinessBusiness InsightsData ScienceFinancial ServicesMerchant Cash AdvancesModel Development
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in Data Science Computer Science Mathematics Statistics or related field required; advanced degree preferred
- 8+ years of experience in data science predictive modeling and financial analytics
- Proven success developing and deploying machine learning models in FinTech or financial services
- Experience in merchant cash advance revenue-based financing or alternative small business lending strongly preferred
- Experience working in startup or high-growth environments and scaling systems
- Advanced proficiency in Python for model development and system design
- Strong experience with SQL and large-scale data analysis
- Deep expertise in statistical modeling machine learning and feature engineering
- Experience designing and analyzing A/B tests and applying causal inference methods
- Experience with model deployment monitoring and lifecycle management
- Familiarity with Databricks MLflow and modern MLOps practices
Nice to have
- Ownership
- Accountability
- Curiosity
- Adaptability
- Growth mindset
- Clear communicator
- Cross-functional
Day to day
- Design, build, and deploy predictive models that shape credit risk and fraud decisions.
- Apply causal inference and experimentation to improve model outcomes and business performance.
- Partner with product, risk, and leadership teams to turn complex data into clear strategic guidance.
- Support production deployment, monitor model performance, and continuously optimize reliability and scalability.
Hiring process
- Initial Phone Screen
- Hiring Manager Interview
- Role-Specific Assessment or Panel Interview
- Final Interview or Leadership Chat
- Offer & Background Check