Since launching in 2020, the FloatMe team has been on a mission to help everyday Americans work towards financial prosperity. With the FloatMe mobile app, members can request cash advances, view their spending habits, plan for future expenses, and find new ways to save or earn some extra cash. 

The team at FloatMe is passionate, driven, and focused on building great experiences, products, and services to help us to deliver our mission and serve our members. If you’re someone who feels the same way, check out our open roles. We’d love to hear from you!

*Terms and conditions apply. For more information, visit floatme.com/terms.

FloatMe

FloatMe is hiring a Senior/Staff Data Scientist to turn product, customer, and risk data into the insights and decision frameworks that shape how we grow. You'll own end-to-end execution — analysis, experimentation, forecasting, visualization — and partner closely with our ML Engineers to evaluate model performance and connect risk decisions directly to business impact. If you love turning ambiguous, high-stakes questions into sharp, decision-ready answers and want to set the technical bar for a fast-moving fintech team, this is the seat for you.

What You’ll Do

You will turn complex product, customer, and risk data into clear insights, decision frameworks, and durable measurement systems for product, risk, and business partnersOwn end-to-end execution across analysis, metrics definition, experimentation, forecasting, visualization, and decision supportDefine and maintain measurement frameworks for FloatMe products, including customer eligibility, repayment behavior, product usage, loss performance, funnel health, subscription, and long-term customer outcomesPartner with Machine Learning Engineers (MLEs) to evaluate model and policy performance, monitor cohorts, identify bias or drift, and connect risk decisions to product and business impactDesign and analyze experiments, rollouts, and policy changes that shape customer access, repayment outcomes, and product growthApproach ambiguous product and risk questions from first principles, using statistical judgment to define the right cohorts, metrics, and decision criteriaCommunicate insights clearly to technical, product, and business stakeholders, including risk partners and senior decision-makersLead technical direction and standards - making and building consensus on key technical decisions, and creating reusable frameworks, measurement templates, and scalable tooling that remove complexity for othersDrive localized cross-team impact by partnering with senior stakeholders in product, engineering, and risk to align Data Science work with broader strategy

Who You Are

4+ years applying AI, machine learning, or statistical modeling in decisioning contexts such as credit, risk, fraud, recommendations, or similar domains. A Master degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science, Operation Research). A PhD degree is welcomed. Advanced proficiency with SQL, Python and experience building clear, decision-oriented data visualizationsStrong product, analytical, and statistical judgment, including the ability to turn ambiguous product, customer, or risk questions into sound analyses, communicate tradeoffs clearly, and support decisionsExperience using AI tools to improve the speed, quality, and durability of analytical work

Bonus Points 

Fintech backgroundConsumer finance experience (non-large bank environment)Advanced modeling techniquesBackground in small to medium sized companies

FloatMe is proud to be an equal opportunity employer. FloatMe provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws, and prohibits discrimination and harassment of any type.

Compensation Range: $150K - $220K

