Sr. Data Scientist
About The Position
AppFolio is hiring a Senior Data Scientist to drive product analytics and experimentation strategy for its Resident experience business. The role supports growth across resident-facing offerings, including FolioGuard renters’ insurance, resident rewards programs, and resident benefit packages. The Senior Data Scientist will partner with product, engineering, design, and data science colleagues to improve the renter experience and advance this growing business area. The position focuses on optimizing resident enrollment and purchase journeys, establishing rigorous experimentation practices, improving retention and sustained engagement, and building reusable analytical data assets. It also involves integrating AI developer workflows into team operations with appropriate auditing and quality assurance, and elevating organizational data science practices through reviews, mentorship, and knowledge sharing. The role requires substantial product analytics experience, strong statistical and causal experimentation skills, production data pipeline and metric-layer experience, and the ability to communicate findings to technical and non-technical audiences. The listed base salary range is $138,400–$173,000. Regular full-time employees are eligible for benefits; the posting does not enumerate specific benefits.
Requirements
- At least 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.
- Deep familiarity querying relational database structures and cloud data warehouses; Snowflake is 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, paired with a disciplined framework for auditing and validating AI-generated code.
- 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 complex A/B or causal experiments.
- Hands-on experience building, transforming, and validating production data pipelines and creating centralized metric layers.
- Experience building interactive decision apps, dashboards, or reporting workflows using modern data app frameworks or comparable tools.
- Strong executive communication and data storytelling skills, including the ability to explain complex statistical concepts clearly to technical and non-technical stakeholders.
Nice To Haves
- Experience with data modeling tools such as dbt.
- Experience building data pipelines, tooling, or automation.
- Experience in dual-sided marketplaces, consumer workflow software, B2B2C, FinTech/InsurTech, or PropTech environments.
- Experience with B2C marketplaces.
- Experience with customer workflow products involving customer input data.
- Experience with B2B SaaS products.
- Experience with marketing software products.
- Experience in real estate or PropTech, particularly resident benefits, insurance, or rewards.
Responsibilities
- Map, measure, and refine end-to-end enrollment and purchase funnels to increase adoption of resident insurance, rewards, and benefit offerings.
- Build and implement standard causal inference and A/B testing frameworks to validate product hypotheses from product teams and AI agents.
- Develop behavioral segmentation models to identify product-market fit signals, reduce cancellations, and increase insurance renewal and benefit utilization.
- Integrate AI developer workflows, such as agentic coding assistants and pipeline automation, into team operations while establishing auditing and QA practices.
- Architect standard metric layers and cross-product analytical frameworks as sources of truth for resident adoption and financial metrics.
- Elevate data science standards through design and code reviews, technical mentorship, and knowledge sharing on complex statistical problems.
- Partner with Product, Engineering, Design, and Business leaders to translate analytical findings into strategic product decisions.
- Build, transform, and validate production data pipelines and create centralized metric layers.
- Build interactive decision apps, dashboards, or reporting workflows.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
