The Role
As a decision scientist, you'll analyze data to inform growth and risk strategies, develop models, lead campaign analytics, and collaborate with teams to enhance user experiences.
Summary Generated by Built In
what you will 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
Skills Required
- 4+ years of hands-on experience in data science or analytics roles
- Bachelor's or master's degree in a quantitative field
- Strong analytical skills to interpret datasets
- Proficiency in Python and/or SQL
- Ability to communicate effectively and collaborate across teams
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The Company
What We Do
We're a team of creative, driven and persistent people. We want to create a community of the creditworthy. We want to re-imagine the ideal way of life that works on two way trust and respect. Every partnership, collaboration or idea we create works towards providing an experience beyond imagination. Every member is passionate towards this goal. This passion seamlessly drives us forward. If you have ideas, passion and courage, bring them to the table. Company culture to us stands at the forefront of what we believe in. We aim at finding unique people who will stand the test of time.
