Staff Data Scientist, Mission Lane

• Has created, deployed, and managed supervised learning models in production systems for vital applications and enjoys being a technical mentor
• Has a PhD in a quantitative field and 1+ years of experience in a related role
• Has a BS / MS in a quantitative field and 5+ years of experience in a related role
• Excels at cross-functional collaboration as technical expert to both business leaders and other technical teams. You approach problems with a solution-oriented mindset and can overcome the real-world challenges of managing data and applying models
• 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

Desirable

• As a Staff Data Scientist, you will innovate and improve the machine learning models we rely on to make billions of dollars of efficient and accurate decisions and to enable financial progress for our customers
• Design, develop, and deploy machine learning models to solve practical problems and help our business and customers reach their financial goals.
• You’ll 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