Staff Data Scientist — FinTech Data & Risk Analytics

Flex; New York, Northern (NY, KY); Hybrid; USD 155,000 - 187,000; Full time

Benefits offered by this job

Medical/Dental/Vision

Company equity

401(k)

Unlimited PTO + holidays

Parental leave

Free Flex subscription

Relocation assistance

Job summary

Flex, headquartered in New York City, is seeking a seasoned analytics engineer/data scientist to build data models, instrument features, and analyze consumer bill management data. You will partner with Product and Engineering to measure adoption, run experiments, and deliver dashboards for cross-functional teams.

The role sits in a hybrid NYC environment, with compensation aligned to Tier 1 market standards.

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.

Responsibilities

• 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 and 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 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.

Skills

SQL

dbt

Snowflake

BI tools

Experiment design

Tools

Looker

Tableau

Sigma

Mode

Job description

Flex, headquartered in New York City, is seeking a seasoned analytics engineer/data scientist to build data models, instrument features, and analyze consumer bill management data. You will partner with Product and Engineering to measure adoption, run experiments, and deliver dashboards for cross-functional teams.

The role sits in a hybrid NYC environment, with compensation aligned to Tier 1 market standards.