Senior Data Scientist — End-to-End Risk & Growth Analytics

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 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