Staff Data Scientist, Funnel Analytics – Optimization

Mulligan Funding, LLC

Staff Data Scientist analyzing end-to-end customer funnel performance at Mulligan Funding. Responsible for enhancing conversion, efficiency, and customer outcomes in a fintech environment.

Posted 5/14/2026full-timeSan Francisco • California • 🇺🇸 United StatesLead💰 $180,000 - $250,000 per yearWebsite

About the role

Key responsibilities & impact

Analyze end-to-end funnel performance across acquisition, application, underwriting, and funding stages to identify conversion trends and structural inefficiencies
Design and maintain analytical frameworks, metrics, and dashboards to monitor funnel health, conversion rates, and customer drop-off patterns
Identify root causes of customer attrition and dropout at each funnel stage using quantitative analysis and cohort-based methodologies
Partner with Operations, Underwriting, and Product teams to design and evaluate strategies that reduce customer friction and improve completion rates
Support test-and-learn initiatives, including A/B testing and controlled experiments, to measure the impact of funnel optimization efforts
Develop segmentation and behavioral analyses to identify populations with elevated dropout risk or conversion opportunity
Translate analytical findings into clear, actionable recommendations for senior leadership and cross-functional partners
Monitor post-implementation results to ensure sustained improvement and surface second-order impacts on risk, cost, and customer experience
Contribute to documentation and standardization of funnel analytics best practices
Performs other duties as assigned

Requirements

What you’ll need

5+ years of relevant experience in analytics or data science within fintech, financial services, or a data-driven consumer or B2B environment
3+ years of hands-on experience analyzing customer funnels, conversion metrics, or operational workflows
Demonstrated experience partnering with operations or frontline teams to translate analytics into execution
Experience supporting experimentation, measurement, and performance monitoring in production environments
Master’s degree in Data Science, Statistics, Economics, Finance, or a related quantitative discipline required.

Benefits

Comp & perks

Medical, vision, and dental benefits to support you and your family.
Flexible Spending Accounts (FSA) for eligible healthcare and dependent care expenses.
A 401(k) with matching contributions to help you plan for retirement.
Paid time off, including sick leave, vacation, and holidays.
Paid parental leave for growing families.
A Lifestyle Spending Account (LSA) for athletic and wellness expenses.
An employer-sponsored Life and AD&D policy, with options for additional coverage.
A Learning Stipend for professional development activities.
An Employee Assistance Program (EAP) and travel assistance services.
Complimentary snacks and refreshments in the breakroom.
A referral program that rewards you for bringing in top talent.
Company events to connect, celebrate, and grow together.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysisquantitative analysisA/B testingcohort-based methodologiessegmentation analysisbehavioral analysisfunnel optimizationmetrics developmentdashboard designperformance monitoring

Soft Skills

analytical thinkingcommunicationcollaborationproblem-solvingstrategic thinkingdocumentationrecommendation formulationcross-functional partnershipcustomer focusexecution

Certifications

Master’s degree in Data ScienceMaster’s degree in StatisticsMaster’s degree in EconomicsMaster’s degree in Finance