Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's essential bills, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow.
That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve.
As a Staff Data Scientist, reporting to our Director of Analytics, you will play a critical strategic role in shaping Flex's future by guiding key analytics projects across our Go-To-Market and Account Management teams. You will champion truth seeking across the business, working to bring clarity to some of Flex’s most challenging and complex areas. Through your technical expertise and mastery of data-led story telling, you improve our understanding of the business and where we can make improvements. The ideal candidate for this role is intensely curious, holds themselves to a high analytical bar, while simultaneously balancing analytical rigor with speed and ultimate business impact.
What you’ll do
- Improve our understanding of key Flex domains by creating scalable frameworks that connect dots across the business into easily interpretable outputs
- Proactively and effectively root cause data and performance issues across the business in order to ensure continued strong performance
- Create and improve dashboards, visualizations, and automations that help us scale analytics across Flex
- Work to establish clear causal links between actions and outcomes through experimentation and other relevant methods, where applicable
- Combine data and strategy - being that bridge between what the data is telling us and the implications for strategic priorities within different areas of the business
- Champion best practices, precise and consistent terminology, and robust documentation within Analytics and more broadly across the organization
Key qualifications
- 5+ years of experience using analytical and statistical methods to support and drive critical business outcomes
- Bachelor's degree in finance, economics, or other related fields
