Senior/Staff Data Scientist

FloatMe; San Antonio (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

FloatMe is hiring a Senior/Staff Data Scientist to turn product, customer, and risk data into insights and decision frameworks that drive growth. You will own end-to-end execution—from analysis and experiments to forecasting, visualization, and decision support—and partner with ML Engineers to evaluate model performance and connect risk decisions to business impact.

You will communicate insights to technical, product, and business stakeholders and lead standards for scalable data science

Qualifications

• 4+ years applying AI/ML or statistics in decisioning contexts (credit/risk/fraud)
• Master's in quantitative field; PhD welcomed
• Proficiency in SQL and Python; ability to create decision-focused visuals
• Strong ability to turn ambiguous problems into analyses and support decisions

Responsibilities

• Turn product, customer, and risk data into insights and decision frameworks
• Own end-to-end analysis, experiments, forecasting, visualization, and decision support
• Define and maintain measurement frameworks for product and risk metrics
• Partner with ML Engineers to evaluate model performance and connect decisions to business impact
• Design experiments and policy changes to shape customer access and product growth
• Communicate insights to technical, product, and senior leadership
• Lead technical direction and reusable analytical tooling
• Collaborate with senior stakeholders to align DS work with business strategy

Skills

AI/ML in decisioning

Decisioning with data

Data storytelling

Statistical judgment

Education

Master's in quantitative field

PhD welcomed

Tools

SQL

Python

Data visualization

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

• Fintech background

• 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.