Senior Data Scientist (Marketing Analytics & Small Business Lending)

Quick Facts

• Role: Senior Data Scientist (Marketing Analytics & Small Business Lending)

• Work mode: Hybrid

• Locations: San Francisco, CA or New York City, NY

Description

You will partner with senior data scientists and marketing leadership to develop, optimize, and implement marketing strategies for a small and medium lending business. The work includes analyzing performance across channels, running experiments, and translating business objectives into data-driven tactics and campaigns. You will also define KPI reporting and own the complete Direct Mail campaign lifecycle from rules and data sourcing to execution and performance tracking.

Responsibilities

• Drive growth by building comprehensive marketing strategies with data analysis, model creation, strategy development, and cross-channel performance monitoring

• Collaborate with marketing managers, channel owners, and external partners to identify and strategize on new opportunities

• Analyze and measure effectiveness using funnel efficiency (click to convert), CPA, and ROI; provide data-driven recommendations

• Design and interpret experiments (A/B tests, quasi-experiments) to inform marketing and growth decisions

• Design and validate the campaign lifecycle (process flow, data pipeline, model scoring, execution) in collaboration with the campaign execution team

• Define KPIs, design reporting frameworks, and build self-service dashboards for product and business performance

• Own end-to-end Direct Mail campaigns (PS and ITA): underwriting, marketing, and suppression rules; data source/logic; code execution; validation and ingestion; approval management; and campaign performance tracking

• Perform deep-dive analyses across funnels, user behavior, monetization, and retention to uncover growth and efficiency opportunities

• Convert business goals into actionable tactics and campaigns for immediate results and sustained growth

• Fulfill partner requests with timely analysis while navigating ambiguity

• Communicate insights to senior leadership and partners, turning complex data into clear narratives

Requirements

• Bachelor's degree in computer science, Math, Physics, Engineering, or a quantitative field (Master's preferred)

• 8+ years of experience in data science/analytics with small business loan experience

• Direct mail experience and ability to manage DM campaign selection and execution

• Strong communication skills and comfort working with product and business leaders

• Strong programming skills in SQL and Python/R; Tableau proficiency

• Experience with growth, lifecycle, or funnel optimization

• Experience building data pipelines with Airflow, preferably in Snowflake

• Demonstrated experimentation design, hypothesis testing, and statistical analysis

• Knowledge of statistical modeling or machine learning is a plus

• Ability to operate in ambiguous, fast-moving environments and drive projects to completion

• Strong business acumen and presentation skills

• Strong preference for financial services experience and familiarity with banking products and marketing channels

• Experience with consumer bureau data (Experian/TU)

• Good-to-have knowledge of business bureau

Benefits

• Base salary range: $130k–$145k plus bonus and benefits

• Hybrid role based in San Francisco, CA or New York City, NY