Sr. Data Scientist

AppFolio is hiring a Senior Data Scientist to lead product analytics and experimentation strategy for its Resident experience business. The role focuses on improving adoption, retention, and engagement across resident-facing insurance, rewards, and benefit offerings through experimentation, behavioral modeling, reusable data assets, and collaboration with product and engineering teams.

Responsibilities

• Optimize the resident journey: Map, measure, and refine end-to-end enrollment and purchase funnels to drive measurable adoption of resident insurance, rewards, and benefit offerings
• Scale experimentation rigor: Build and implement standard causal inference and A/B testing frameworks that validate product hypotheses originated by both product teams and AI agents
• Drive retention & sustained engagement: Develop user behavioral segmentation models to uncover product-market fit signals, curb cancellations, and lift insurance renewal and benefit utilization rates
• Accelerate analytical velocity with AI: Integrate modern AI developer workflows (such as agentic coding assistants and pipeline automation) into team operations while establishing rigorous auditing and QA practices
• Build reusable data assets: Architect standard metric layers and cross-product analytical frameworks that serve as single sources of truth for resident adoption and financial metrics
• Multiply team capabilities: Elevate data science standards across the organization through active design/code reviews, technical mentorship, and knowledge sharing on complex statistical problems

Skills

• Demonstrated success partnering cross-functionally with Product, Engineering, Design and Business leaders to translate analytical findings into strategic product decisions
• Deep expertise in user behavioral data, cohort retention modeling, conversion funnel optimization, and designing complex A/B or causal experiments
• Hands-on experience building, transforming, and validating production data pipelines and creating centralized metric layers
• Proven experience building interactive decision apps, dashboards, or reporting workflows using modern stacks (Hex, Streamlit, Quarto, or comparable data app frameworks)
• 6+ years of data team experience specializing in product analytics, user behavioral data, and statistical analysis
• Advanced proficiency in SQL and strong programming skills in Python and/or R, with deep familiarity querying relational database structures and cloud data warehouses (Snowflake preferred)
• Proven track record designing, analyzing, and scaling A/B testing and causal inference frameworks
• Demonstrated hands-on use of AI coding agents and agentic developer workflows (e.g., Claude Code, Model Context Protocol integrations, or custom skills) to accelerate analyses and automate data workflows, paired with a disciplined framework for auditing and validating AI-generated code
• Strong executive communication and data storytelling skills, with the ability to distill complex statistical concepts into clear insights for technical and non-technical stakeholders
• Familiarity with data modeling tools like dbt, and experience working in dual-sided marketplaces, consumer workflow software, B2B2C, FinTech/InsurTech, or PropTech environments is a plus
• Data modeling experience using dbt
• Experience building data pipelines, tooling, or automation
• B2C marketplaces
• Customer workflow products (customer input data)
• B2B SaaS products
• Marketing software products
• Real estate sector or PropTech (specifically around resident benefits, insurance, or rewards)

Benefits

• Opportunities for growth, with results recognized.
• Coaching and mentorship with best-in-class leaders.
• Time and tools to develop your skills.
• Hybrid work with a flexible, personal, and connected environment.

Company Overview

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