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.