Senior/Staff Data Scientist

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 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.