[Remote] Data Scientist

Note: The job is a remote job and is open to candidates in USA. Pave helps consumer and SMB credit risk teams increase approvals through AI-powered cashflow analytics. The Data Scientist will develop and maintain models, analyze the impact of cashflow scores and attributes on customer performance, design experiments, and collaborate on productionizing and monitoring models. The role also involves communicating insights to stakeholders and ensuring models and analyses comply with fair lending practices.

Responsibilities

• Develop and maintain models (whether ML-based or heuristics-based) to enhance our product offerings
• Analyze the impact of Pave’s scores and attributes on customer performance metrics, particularly focusing on increasing approvals and reducing defaults
• Design, implement, and evaluate experiments to test the effectiveness of new attributes and models
• Collaborate with data engineers to put your models in production, monitor their performance and conduct regular updates to maintain their accuracy
• Communicate findings and recommendations to stakeholders through clear, concise reports, dashboards and presentations
• Stay up-to-date with industry best practices and advancements in data science, AI and ML, and credit risk analytics tools, and technologies
• Help ensure all models, attributes, and analyses are compliant with fair lending practices, translating these considerations into the attributes and analyses we conduct for credit risk

Skills

• Strong analytical and data exploratory skills with the ability to ask the right questions, interpret data and provide actionable insights
• Demonstrated experience of going from data analysis to building highly performing ML models, including feature engineering and measuring performance
• Solid understanding of machine learning libraries like scikit-learn, and tree ensemble packages like XGBoost
• Strong problem-solving skills and a detail-oriented mindset
• Ability to work independently and collaboratively in a team environment
• Ability to clearly communicate findings and insights to both technical and non-technical stakeholders, including external partners and customers
• Knowledge and experience building credit risk models, with an understanding of credit risk in the US
• Work experience in US fintech or in the financial industry

Benefits

• Remote work arrangement

Company Overview

Company H1B Sponsorship