Senior Data Scientist — Product Analytics & AI Growth

AppFolio, Inc.; Chicago (IL); On-site; USD 138,000 - 173,000; Full time

Job summary

AppFolio is hiring a Senior Data Scientist to drive product analytics and experimentation for the Resident experience business, including FolioGuard renters' insurance, resident rewards, and benefit packages. You will partner with product, engineering, design, and other data scientists to solve challenges and accelerate a fast-growing domain.

Your impact includes optimizing enrollment/purchase funnels, implementing robust causal inference and A/B testing frameworks, and building reusable data

Qualifications

• 6+ years of data team experience specializing in product analytics and statistics.
• Advanced SQL and Python/R skills, with cloud data warehouses experience.
• Proven ability designing, analyzing, and scaling A/B testing and causal inference frameworks.
• Hands-on use of AI coding agents to accelerate analyses and automate data workflows.
• Strong ability to distill insights for technical and non-technical stakeholders.

Responsibilities

• Optimize the resident journey with end-to-end funnel measurements for enrollment and purchase of insurance, rewards, and benefits.
• Scale experimentation rigor by building standard A/B and causal inference frameworks.
• Develop segmentation models to drive retention and engagement.
• Integrate AI developer workflows into analytics operations with governance and QA.

Skills

Product analytics

Causal inference

A/B testing

SQL

Python

Executive communication

AI coding agents

Tools

dbt

Hex

Streamlit

Quarto

Snowflake

Job description

AppFolio is hiring a Senior Data Scientist to drive product analytics and experimentation for the Resident experience business, including FolioGuard renters' insurance, resident rewards, and benefit packages. You will partner with product, engineering, design, and other data scientists to solve challenges and accelerate a fast-growing domain.

Your impact includes optimizing enrollment/purchase funnels, implementing robust causal inference and A/B testing frameworks, and building reusable data