Sr Staff Data Scientist, New Verticals
Required skills
- dbt
- Snowflake
- SQL
- A/B testing
- Quasi-experimental methods
- Sigma
- Tableau
- Mode
- Looker
- Data quality
Nice to have
- Consumer bill management
- Credit building
- Pricing
- Fintech
Role summary
Flex is launching a consumer bill management platform and seeks a Sr Staff Data Scientist to build its data foundation and drive decisions. This role involves creating core data models (dbt/Snowflake), analyzing consumer behavior, designing experiments for pricing and product flows, and establishing data quality standards. The ideal candidate will partner with Product, Engineering, and GTM teams, mentor others, and set technical direction for data scaling. Requires 7+ years in analytics engineering/data science, strong SQL, dbt, Snowflake, BI tools, and experiment design experience. Familiarity with credit, risk, or fintech data is a plus.
Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, 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.
Flex is expanding to offer a consumer bill management platform: a hub where users manage both recurring and one-off bills, align payments with their cash flow, and build credit along the way. As we move from a pilot to broader GTM, we're looking for someone who can operate as both the builder of our data foundation and the analyst who turns that data into decisions.
This role will work closely with both business leadership and the core data team to focus on modeling data, digging into consumer behavior, pricing and credit dynamics, and setting the standards the rest of the team builds on.
What you'll do
Key qualifications
Compensation
Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 (NYC/Bay Area) markets, the base salary pay range for this role is below. Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the cities listed below, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location.
Tier 1 (NYC/Bay Area)$184,000—$225,000 USDLife at Flex
Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace.
Offices
Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.
Benefits
View our benefits and more at getflex.com/careers.
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