data scientist

what will you do :
• as a decision scientist, you will be the analytical backbone supporting business, growth, product, and risk teams, transforming complex data into strategic insights that drive multi-functional success across our lending ecosystem
• analyze multi-dimensional data to identify user patterns, emerging trends, and risk signals that inform lending and growth strategies
• develop and maintain churn and propensity models to detect disengaged users and recommend data-driven interventions that improve retention and product stickiness
• lead campaign analytics by building user segments and evaluating communication effectiveness, with a focus on improving targeting, engagement, and in-funnel conversion performance
• partner with product teams to guide feature development, using insights from cohort analysis, funnel diagnostics, and retention trends to improve user journeys and experience
• collaborate with cross-functional teams including product, risk, tech, compliance, and business to build and execute analytical solutions aligned with organizational priorities
• own the end-to-end execution of strategic analytical initiatives, from problem framing and hypothesis design to stakeholder communication and impact tracking
• support and mentor junior analysts, fostering analytical rigor and promoting best practices in data hygiene, modeling, and experimentation across the broader analytics team

you should apply if :
• you have 4+ years of hands-on experience in data science or analytics roles, solving real-world business problems
• you hold a bachelor's or master’s degree in a quantitative field such as engineering, statistics, mathematics, or a related discipline
• you have strong analytical skills with the ability to interpret diverse datasets and translate insights into solutions for specific business challenges
• you have strong proficiency in python and or sql, with experience handling large datasets and working with distributed computing tools
• you communicate effectively and enjoy collaborating with cross-functional teams, including product, business, and risk
• you are passionate about data, always eager to explore, experiment, and apply data-driven approaches to solve complex problems

Department: Prefr
Team: engineering