Decision Scientist

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. - Hold a Bachelor's or Master’s degree in a quantitative field such as Engineering, Statistics, Mathematics, or a related discipline. - Have strong analytical skills with the ability to interpret diverse datasets and translate insights into solutions for specific business challenges. - Have strong proficiency in Python and/or SQL, with experience handling large datasets and working with distributed computing tools. - Communicate effectively and enjoy collaborating with cross-functional teams, including product, business, and risk. - Are passionate about data, always eager to explore, experiment, and apply data-driven approaches to solve complex problems.Must Have Skills- Strong proficiency in Python programming and SQL querying, with experience handling and analyzing large datasets. - Excellent quantitative and analytical skills with the ability to translate data insights into actionable business solutions. - Strong organizational, communication, and presentation skills to effectively collaborate with cross-functional teams and stakeholders. - Proven experience driving business impact through analytical projects from end-to-end. - Passion for working with data and solving complex problems in a fast-paced environment.

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