Missionlane
Director of Data Science, Credit Risk
datafull-timeRemote, United States
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
fintech
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About the role
About the Role
As a Director of Data Science, Credit Risk, you will lead a data science team and cross-functional projects to 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.
As a Director of Data Science, you'll:
Lead the design, development, and deployment of 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.
You are a person who:
- Has a PhD in a quantitative field and 5+ years of experience in a related leadership role
- Has a BS / MS in a quantitative field and 8+ years of experience in a related leadership role
- Has experience applying data science to credit risk management and is excited to build on a multi-billion-dollar portfolio that's growing every day.
- Can make your team better every day because you can be clear about goals and the team's purpose. You can execute through education, organization, and trust.
- Can grow members of your team because you can help them identify their strengths and weaknesses, put them in a position to succeed, and get them the training and opportunities they need.
- Has a deep understanding of the field of data science and can communicate a vision to your team on how the field can be applied to solve difficult, practical problems.
- Has created, deployed, and managed experiments and models in production systems. You can genuinely speak to practitioners about the fundamental principles and challenges required to be successful in applied work.
- Practices solid fundamentals with software engineering (test-driven development, code review, refactoring) a
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