Senior Data Scientist - Decisioning & Growth (Fintech)

FloatMe; Austin (TX); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

FloatMe in Austin, TX is seeking a Senior/Staff Data Scientist to convert product, customer, and risk data into insights and decision frameworks that guide growth. You will own end-to-end execution, from analysis and experimentation to forecasting, visualization, and model evaluation with ML Engineers.

The role emphasizes measuring product effects, monitoring cohorts, and translating risk decisions into business impact, with opportunities to shape the technical bar for a fast-moving fintech team.

Qualifications

• 4+ years applying AI, machine learning, or statistical modeling in decisioning contexts such as credit, risk, fraud, recommendations, or similar domains.
• Master degree in a quantitative field is required; a PhD is welcomed.
• Advanced proficiency with SQL, Python and experience building clear, decision-oriented data visualizations.
• Strong product, analytical, and statistical judgment, ability to turn ambiguous questions into sound analyses and communicate tradeoffs.
• Experience using AI tools to improve the speed, quality, and durability of analytical work.

Responsibilities

• Turn complex product, customer, and risk data into insights, decision frameworks, and durable measurement systems for product, risk, and business partners.
• Own end-to-end execution across analysis, metrics, experimentation, forecasting, visualization, and decision support.
• Define and maintain measurement frameworks for FloatMe products (eligibility, repayment behavior, product usage, loss performance, funnel health, subscription, outcomes).
• Partner with ML Engineers to evaluate model and policy performance, monitor cohorts, identify bias or drift, and connect risk decisions to business impact.
• Design and analyze experiments, rollouts, and policy changes shaping access, repayment outcomes, and product growth.
• Approach ambiguous questions from first principles using statistical judgment to define 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 reusable frameworks, measurement templates, and scalable tooling to remove complexity for others.
• Drive cross-team impact by aligning Data Science work with broader strategy across product, engineering, and risk.

Skills

SQL

Python

Data visualization

Statistical modeling

Experimentation design

Decisioning context experience

AI tools usage

Education

Master's degree in quantitative field

PhD welcomed

Tools

AI tools

Job description

FloatMe in Austin, TX is seeking a Senior/Staff Data Scientist to convert product, customer, and risk data into insights and decision frameworks that guide growth. You will own end-to-end execution, from analysis and experimentation to forecasting, visualization, and model evaluation with ML Engineers.

The role emphasizes measuring product effects, monitoring cohorts, and translating risk decisions into business impact, with opportunities to shape the technical bar for a fast-moving fintech team.