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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
