Senior/Staff Data Scientist

Praxy; Austin, Northern (TX, KY); Hybrid; USD 140,000 - 220,000; Full time

Job summary

FloatMe is seeking a Senior/Staff Data Scientist to turn product, customer, and risk data into decision-ready insights and frameworks. You’ll own end-to-end execution—from analysis, experimentation, and forecasting to visualization— partnering with ML Engineers to monitor model performance and connect risk decisions to business impact.

You will lead measurement design, experiment strategies, and cross-team collaboration to drive product growth and risk-informed decisions.

Qualifications

• 4+ years applying AI, ML, or statistics in decisioning contexts such as credit or risk.
• Master's degree in a quantitative field; PhD welcomed.
• Advanced proficiency with SQL, Python and clear, decision-oriented visualizations.
• Strong product, analytical and statistical judgment for turning questions into analyses.
• Experience using AI tools to improve analytical work quality and speed.

Responsibilities

• Turn product, customer, and risk data into insights and decision frameworks.
• Own end-to-end analysis, experimentation, forecasting, visualization, and decision support.
• Define measurement frameworks for eligibility, repayment behavior, usage, loss, funnel health, and outcomes.
• Collaborate with ML Engineers to evaluate model performance and connect decisions to impact.
• Design experiments and policy changes to shape access, outcomes, and growth.
• Communicate insights to engineers, product, and senior stakeholders; drive technical direction.

Skills

SQL

Python

Data Visualization

Education

Master's degree in a quantitative field

PhD welcomed

Job description

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 partners
• Own end-to-end execution across analysis, metrics definition, experimentation, forecasting, visualization, and decision support
• Define and maintain measurement frameworks for FloatMe products, including customer eligibility, repayment behavior, product usage, loss performance, funnel health, subscription, and long-term customer outcomes
• Partner 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 impact
• Design and analyze experiments, rollouts, and policy changes that shape customer access, repayment outcomes, and product growth
• Approach ambiguous product and risk questions from first principles, using statistical judgment to define the right cohorts, metrics, and decision criteria
• Communicate insights clearly to technical, product, and business stakeholders, including risk partners and senior decision-makers
• Lead 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 others
• Drive 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 visualizations
• Strong product, analytical, and statistical judgment, including the ability to turn ambiguous product, customer, or risk questions into sound analyses, communicate tradeoffs clearly, and support decisions
• Experience using AI tools to improve the speed, quality, and durability of analytical work

Bonus Points

• Consumer finance experience (non-large bank environment)
• Advanced modeling techniques
• Background 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.