Staff Data Scientist
Staff Data Scientist
Pipe Technologies
Pipe is a modern capital platform that provides entrepreneurs with fast, frictionless, and dilution-free financing. The Staff Data Scientist role involves using statistical modeling and diverse data sources to forecast cash flow and improve customer experience on the platform. This is a full-time, fully remote position.
Qualification
- 10+ years experience in commercial risk management, ideally for SMB portfolio
- Deep expertise in UK consumer bureau, commercial bureau, and open banking data
- Experience building the end-to-end model development lifecycle
- Proficiency in SQL and at least one scripting language (e.g., Python)
- Hands-on experience with MLOps infrastructure (e.g., Chalk, Baseten, Metaflow, SageMaker, Vertex)
- Strong written and verbal communication skills
- Educational background in Statistics, Computer Science, Financial/Applied Math, Operations Research, Economics, or a related technical field; Masters/PhD is a plus
Responsibility
- Use statistical modeling to forecast small business cash flow and other predictors of business health
- Assimilate diverse data views to build predictive models
- Calibrate strategies to serve a high proportion of the target audience while managing risk-reward
- Use analytics and experimentation to enhance customer experience on the Pipe platform
- Proactively explore datasets to uncover insights and prototype new model-driven features
- Deploy models and risk strategies into the ML Ops infrastructure
- Monitor model and strategy performance and fine-tune strategies based on credit performance and macro environment
