Senior/Staff Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• You will transform intricate product, customer, and risk data into straightforward insights, decision frameworks, and sustainable measurement systems for product, risk, and business partners.

• Take ownership of the complete execution process, including analysis, metrics definition, experimentation, forecasting, visualization, and decision support.

• Define and uphold measurement frameworks for FloatMe products, which encompass customer eligibility, repayment behavior, product usage, loss performance, funnel health, subscription, and long-term customer outcomes.

• Collaborate with Machine Learning Engineers (MLEs) to assess model and policy performance, monitor cohorts, detect bias or drift, and link risk decisions to product and business impact.

• Design and evaluate experiments, rollouts, and policy adjustments that influence customer access, repayment outcomes, and product growth.

• Tackle ambiguous product and risk inquiries from foundational principles, employing statistical judgment to identify the appropriate cohorts, metrics, and decision criteria.

• Clearly communicate insights to technical, product, and business stakeholders, including risk partners and senior decision-makers.

• Lead the technical direction and standards by building consensus on key technical decisions and developing reusable frameworks, measurement templates, and scalable tools that simplify processes for others.

• Foster localized cross-team impact through collaboration with senior stakeholders in product, engineering, and risk to align Data Science efforts with overarching strategy.

⛳️ Requirements

• A minimum of 4 years of experience in applying AI, machine learning, or statistical modeling in decision-making contexts such as credit, risk, fraud, recommendations, or related fields.

• A Master's degree in a quantitative discipline (e.g., Mathematics, Statistics, Physics, Computer Science, Operations Research) is required, and a PhD is encouraged.

• Advanced expertise in SQL and Python, with experience in creating clear, decision-oriented data visualizations.

• Strong product, analytical, and statistical judgment, with the capability to convert unclear product, customer, or risk questions into robust analyses, effectively communicate trade-offs, and support decision-making.

• Experience utilizing AI tools to enhance the speed, quality, and sustainability of analytical work.

🏝️ Benefits

• Offers Equity