Senior/Staff Data Scientist

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FloatMe

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

🏥 Healthcare

💼 Consulting

📣 Marketing

💰 $16.2M Series A on 2021-12

Healthcare • Consulting • Marketing

FloatMe is a company offering a financial application that serves as a personal financial assistant for members. For $3. 99 per month, users can manage and save money, access financial forecasts, and request cash advances or 'Floats' up to $50, with faster service available for an additional fee. The app provides features like overdraft risk alerts, insights into spending habits, and exclusive opportunities through its partners. FloatMe emphasizes user security by utilizing Plaid for secure bank connections and aims to help users save money by avoiding fees.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• Offers Equity