Director of Data Science - Varo Money

Job Title: Director of Data Science
Job Location: San Francisco, CA
Job Listing URL: https://jobs.lever.co/varomoney/d288081a-7202-40a4-bc0a-4d11b790a4e2
Job Description: Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us.

About The Role
You will lead Varo’s Data Science team under the umbrella of Varo’s Data organization, spanning Data Analytics, Data Science, Data Product Management, Data Engineering and ML Engineering. Collectively our objective is to enable and catalyze decision making across Varo’s key verticals (acquisition / engagement, fraud, lending, operations) using data. The Data Science team works closely with business stakeholders to understand the commercial problems to be addressed, deploys appropriate machine learning and causal inference methodology to develop solutions, and partners with engineering stakeholders to deploy those solutions. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now!
What you'll be doing
Be responsible for owning and driving Varo’s Data Science efforts (roadmap planning, stakeholder engagement, delivery) across artificial intelligence, machine learning, and causal inference
Develop custom models to drive commercial outcomes spanning all of Varo’s verticals, as well as, processes for monitoring and analyzing their performance
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Understand and apply proper risk framework to your analysis and modeling
Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions
Collaborate cross functionally to implement models and monitor outcomes
You'll bring the following required skills and experiences
8+ years of experience in Data Science, Applied Science or Software Engineering as an individual contributor. You will need to flex in your role across IC and manager capabilities.
An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc.
Demonstrated impact and leadership in at least one area (acquisition / engagement, fraud, lending, operations) combined with exposure to others
Experienced in using Python for analysis and modeling, applying a wider range of statistical techniques to large data sets
Prior experience with Generative Artificial Intelligence is nice to have