Sr. Data Scientist - Funnel Analytics & Optimization

As the Sr. Data Scientist – Funnel Analytics & Optimization, you will own end-to-end funnel analytics across acquisition, application, underwriting, and funding for a small-business lending portfolio. You will identify friction points and operational bottlenecks, design measurement frameworks, and run test-and-learn experiments to improve conversion, cycle time, and customer outcomes—while maintaining strong risk discipline. You will partner with client and internal stakeholders across Risk, Operations, Product, Engineering, and AI teams to translate insights into scalable process changes, automation, and AI-agent solutions.Analyze end-to-end funnel performance across acquisition, application, underwriting, and funding stages to identify conversion trends and structural inefficienciesDesign and maintain analytical frameworks to monitor funnel health, conversion rates, and customer drop-off patternsIdentify root causes of customer attrition and dropout at each funnel stage using quantitative analysis and cohort-based methodologiesDrive a statistical approach to assessing information value of each funnel step v customer attrition and drop outSupport test-and-learn initiatives, including A/B testing and controlled experiments, to measure the impact of funnel optimization effortsPartner closely with process owners & AI team to deploy automation and AI agent solutions to fundamentally enhance funnel efficiencyDeploy game theory or other relevant statistical frameworks to enhance take up rate of client offers by channel partnerPartner with Operations, Underwriting, and Product teams to design and evaluate strategies that reduce customer friction and improve completion ratesDevelop segmentation and behavioral analyses to identify populations with elevated dropout risk or conversion opportunityTranslate analytical findings into clear, actionable recommendations for senior leadership and cross-functional partnersMonitor post-implementation results to ensure sustained improvement and surface second-order impacts on risk, cost, and customer experienceCandidate Profile7+ years of relevant experience in analytics or data science within fintech, financial services, or a data-driven consumer or B2B environmentHands-on experience analyzing customer funnels, conversion metrics, or operational workflowsDemonstrated experience partnering with operations or frontline teams to translate analytics into executionExperience supporting experimentation, measurement, and performance monitoring in production environmentsFunnel and conversion analyticsCohort analysis and customer journey analysisDrop-off and attrition modelingExperimentation and A/B testingStatistical analysis and hypothesis testingCross-functional analytical storytellingStrong SQL and Python (or R) proficiency; ability to work with large datasets and build reproducible analytical workflows.Excellent communication, presentation, and story-building skills in a consulting/client-facing setup.Demonstrated ability to lead cross-functional initiatives end-to-end and coordinate with offshore delivery teams.Bachelor's degree in related quantitative fields such as Data Science, Statistics, Mathematics, Economics, Finance, or Engineering required.J-18808-Ljbffr