Senior Data Scientist (Credit)

Join our team as a Senior Data Scientist, where you will innovate and improve machine learning models that drive efficient and accurate financial decisions. Collaborate with business leaders and technical experts to develop new data sources, enhance modeling methodology, and apply models with sound risk management. Enjoy a supportive work culture, comprehensive benefits, and opportunities for professional growth.

• Collaborate on designing, developing, and deploying machine learning models to solve practical problems and help our business and customers reach their financial goals.
• Partner with business leaders and technical experts across the company to develop new data sources, improve our modeling methodology, and apply models with sound risk management.
• Share best practices for software engineering and help smart, experienced data scientists with complex technical problems, especially operationalizing and evaluating models for real-world applications.

• You share best practices for software engineering and can help smart, experienced data scientists with complex technical problems - especially operationalizing and evaluating models for real-world applications
• Has collaborated on creating, deploying, and managing supervised learning models in production systems for vital applications
• Has a BS / MS in a quantitative field and 3+ years of experience in a related role
• Considers themself a generalist data scientist more motivated by practical solutions than theoretical elegance
• Practices solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, pandas, etc.)
• Is interested in a wide range of ML solutions, including established tools (e.g. Spark, Kubernetes, Airflow, MLFlow), emerging tools (like Chalk, BentoML, or DVC), and developing in-house tools
• Has a PhD in a quantitative field and 1+ years of experience in a related role
• Experience managing a strong technical team
• Experience building predictive models end to end
• Experience solving problems in consumer lending or fintech
• Interest in developing ways to train, interpret, and deploy neural network architectures for time series classification tasks