Staff Data Scientist, New Verticals

Socket.dev; New York (NY); Hybrid; USD 155,000 - 187,000; Full time

Benefits offered by this job

Medical, dental, and vision

Company equity

401(k) with match

Unlimited PTO

Parental leave

Free Flex subscription

Job summary

Flex, a NYC-headquartered FinTech, is expanding its analytics function to turn data into decisions. As a data analytics lead, you will build core data models (dbt/Snowflake), analyze bill payment behavior, and collaborate with Product and Engineering to instrument new features.

You will design experiments on pricing and credit terms, create dashboards for Product, Risk and GTM, champion data quality, and guide teammates as the data footprint grows toward a full launch.

Qualifications

• Strong SQL and hands-on experience with modern data stack (dbt, Snowflake)
• Experience building dashboards for non-technical stakeholders
• Track record designing and analyzing experiments to inform product decisions
• Comfort partnering with technical and non-technical stakeholders

Responsibilities

• Build and maintain the core data models powering reporting, experimentation, and ML/credit risk use cases
• Analyze consumer bill payment behavior timing, splitting, delinquency, and credit-building outcomes
• Instrument new features with Product and Engineering to measure adoption and impact
• Design experiments to test pricing, credit terms, and product flows, establishing causal links
• Create dashboards and self-serve tools for Product, Risk, and GTM teams to track metrics

Skills

SQL

BI dashboards

Experiment design

Stakeholder collaboration

Fintech data familiarity

Tools

dbt

Snowflake

Looker

Tableau

Job description

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

• 5+ 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 comfortable partnering with technical and non technical stakeholders
• 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)

$155,000—$187,000 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