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Appfolio

Cloud-based property management software platform

Senior Data Scientist

Data ScienceUpdated on Nov 11
Full-time$138.4k - $173k /yr

About the Job

Requirements

  • 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 such as Hex, Streamlit, Quarto, or comparable data app frameworks.
  • 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, with 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, such as 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.

Responsibilities

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

Desired Qualifications

  • Familiarity with data modeling tools such as dbt.
  • Experience working in dual-sided marketplaces, consumer workflow software, B2B2C, FinTech/InsurTech, or PropTech environments.
  • Data modeling experience using dbt.
  • Experience building data pipelines, tooling, or automation.
  • Experience in B2C marketplaces.
  • Experience with customer workflow products involving customer input data.
  • Experience with B2B SaaS products.
  • Experience with marketing software products.
  • Experience in the real estate sector or PropTech, specifically around resident benefits, insurance, or rewards.

About the Company

Appfolio

Cloud-based property management software platform

AppFolio provides cloud-based software and services for real estate professionals, focusing on property management. It offers a subscription-based suite that includes tenant and lease tracking, accounting, maintenance requests, marketing, and data analytics, all accessed via the internet. The product works by delivering modules the users subscribe to, allowing teams to manage properties, tenants, finances, and maintenance from one platform and analyze performance through analytics. Compared with competitors, AppFolio targets the real estate industry with an integrated, cloud-first solution and ongoing services, aiming to streamline operations and support growth. The company’s goal is to help property managers, investors, and association managers run their businesses more efficiently, save time, reduce costs, and enable scalable growth.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Goleta, CA
Founded
2006

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