Head of Data Science

Mission Lane

2h

About The Position

As the Vice President of Data Science, you will lead the strategic direction of data science for the next phase of Mission Lane’s growth by innovating on the application of machine learning to underwriting and other practical problems. You will report directly to the COO and lead one of the most knowledgeable and effective data science teams in fintech.
As a Vice President of Data Science, you’ll:
Drive financial and customer outcomes through machine learning and cross-functional collaboration with the entire business: marketing, acquisitions, fraud, portfolio management, collections, and more. You will develop the data science team to add new data sources, improve our modeling methodology, and practice sound risk management.
You are a person who:
Understands how to operate a data science team to reach strategic business goals through talent development, cross-functional partnerships, and technical innovation
Has experience applying data science to credit risk management
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
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
Knows and teaches solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, polars, etc.)
Balances the demands of development speed with the need to meet compliance standards and documentation in a regulated industry

Requirements

• Understands how to operate a data science team to reach strategic business goals through talent development, cross-functional partnerships, and technical innovation
• Has experience applying data science to credit risk management
• 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
• 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
• Knows and teaches solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, polars, etc.)
• Balances the demands of development speed with the need to meet compliance standards and documentation in a regulated industry

Nice To Haves

• Experience solving problems in consumer lending or fintech
• Excellence in communication and collaboration with executives, Board members, and regulators

Responsibilities

• Drive financial and customer outcomes through machine learning and cross-functional collaboration with the entire business: marketing, acquisitions, fraud, portfolio management, collections, and more.
• Develop the data science team to add new data sources, improve our modeling methodology, and practice sound risk management.

Benefits

• An engaging culture with access to training programs and advancement opportunities
• Full health, dental, and vision benefits, Flexible Spending Account (for medical and childcare expenses), paid parental leave, and a 401k Company Match
• Generous PTO, flexible schedules, a Calm App subscription, and more

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees