Sr Staff Data Scientist, New Verticals

Flex
New York, New York, United StatesFull-time$184,000–$225,000Posted Aug 26, 2026

About the role

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?

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

Build and maintain the core data models (dbt/Snowflake) that power reporting, experimentation, and ML/credit risk use cases

Analyze consumer bill payment behavior timing, splitting, delinquency, credit-building outcomes to identify what's working in the pilot and what needs to change

Partner closely with Product and Engineering to instrument new features (e.g. bill splitting, smart scheduling, credit-building) so we can measure adoption and impact from day one

Design and analyze experiments that test pricing, credit terms, and product flows, establishing causal links between changes and outcomes

Create dashboards and self-serve tools that let Product, Risk, and GTM teams track Control Center's pilot-to-scale metrics without needing to come back to Analytics for every question

Champion data quality, consistent terminology, and documentation as data footprint grows from pilot to full launch

Set technical direction for how Control Center's data models and pipelines scale as new billers, partners, and product surfaces come online; mentor other analysts/engineers and raise the technical bar across the team

Key Qualifications

7+ years of experience spanning analytics engineering and data science/analyst work

Strong SQL and hands-on experience with dbt and Snowflake (or equivalent modern data stack)

Experience with BI tools (Sigma, Tableau, Mode, Looker, etc.) and building dashboards that non-technical stakeholders use

Track record designing and analyzing experiments (A/B tests or quasi-experimental methods) to drive product decisions

Being confident partnering with technical and non technical stakeholders

Strong ownership mindset

Comfort with credit, risk, or fintech data, as well as curiosity about how consumers manage their finances, is a plus

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 USD

Life at Flex

We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great 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

For full-time U.S. employees we offer:

Competitive medical, dental, and vision

Company equity

401(k) plan with company match

Unlimited paid time off + 13 company paid holidays

Parental leave

Free Flex subscription

For full-time non-U.S. employees, we offer:

Competitive compensation + company equity

Unlimited PTO

Responsibilities

  • Build and maintain the core data models that power reporting, experimentation, and ML/credit risk use cases
  • Analyze consumer bill payment behavior timing, splitting, delinquency, credit-building outcomes
  • Partner closely with Product and Engineering to instrument new features
  • Design and analyze experiments that test pricing, credit terms, and product flows
  • Create dashboards and self-serve tools for tracking metrics
  • Champion data quality, consistent terminology, and documentation
  • Set technical direction for data models and pipelines and mentor other analysts/engineers

Qualifications

  • 7+ years of experience in analytics engineering and data science/analyst work
  • Strong SQL and hands-on experience with dbt and Snowflake
  • Experience with BI tools and building dashboards for non-technical stakeholders
  • Track record designing and analyzing experiments to drive product decisions
  • Confidence in partnering with technical and non-technical stakeholders
  • Strong ownership mindset
  • Comfort with credit, risk, or fintech data

Benefits

  • Competitive medical, dental, and vision
  • Company equity
  • 401(k) plan with company match
  • Unlimited paid time off + 13 company paid holidays
  • Parental leave
  • Free Flex subscription

Skills mentioned

SQLdbtSnowflakeData AnalysisTableauStatistical AnalysisData EngineeringData PipelinesData WarehousingBusiness Intelligence

About Flex

Flex is a simple app that’s changing the way the world pays and collects rent. Our technology makes the 1st of the month easy for renters and properties. For renters, we pay the rent on the 1st and let you pay it back when it works better for your budget. We help you buy some time (or whatever else you’re eyeing). For properties, we help you collect more and stress less. And we do the previously impossible by turning rent collection into a marketable amenity. WHAT WE STAND FOR •We believe you should be able to choose when you pay your bills. The flexibility of buy-now-pay-later has forever changed the way the world makes purchases. We believe the same flexibility should be available for one of life’s #1 expenses: rent. •We believe in the win-win. We like helping people keep commitments. With our technology, properties get the rent and renters get the time. The future is flexible. •We believe in the end of rent regret. Sharing human spaces used to be easier. But then payment came into the picture and rent regret was born. The worst part of rent regret is that it separates us from each other. We’re committed to solving rent regret forever.

Financial Services201-500 employeesNew York, New York