Sr. Data Science Engineer

Full-time - Mid Level

Santa Barbara, CA

Professional, Scientific, and Technical Services

About the position

The Senior Data Science Engineer at AppFolio will play a crucial role in the Data Science & Analytics Department, focusing on leveraging data to support strategic priorities and enhance customer understanding. This position involves collaborating cross-functionally to build data models that drive insights into customer behavior and product adoption, ultimately contributing to the company's growth and marketing objectives.

Responsibilities

• Collaborate to structure and derive more value out of data across acquisition and growth efforts.
• Leverage MQL opportunity data assets and sales performance metrics to build dbt data models for various data science use cases.
• Perform data discovery on GTM analytics reporting logic to identify opportunities for creating shared business definitions in dbt.
• Partner cross-functionally to create add-on services enablement for adoption funnel data models.
• Build scalable data assets that support marketing/sales objectives and broader analytics needs.
• Support competitive intelligence data to enhance segmentation across prospects/customers.
• Contribute to Data Science infrastructure and long-term strategy with efficient ML operations.
• Design and enhance dbt data models for prospect data and customer analytics.
• Document data sources, metric definitions, and assumptions to drive adoption of curated data assets.
• Identify data quality issues and implement semantic data layer standards.

Requirements

• Minimum of 5+ years of work experience in a technical role, Analytics/Data Engineering or Data Science.
• Full Stack Data Science experience with a proven ability to bridge project requirements and application data.
• Expertise in dbt, object-oriented programming, and building/deploying model pipelines to production.
• Experience creating/editing widely used production tables.
• Strong exploratory data analysis skills to answer business questions.
• Proficiency in SQL and Python (Pandas and/or Spark) for data transformation.
• Excellent communication skills to assist product teams in decision-making.

Nice-to-haves

• Experience with machine learning operations and performance monitoring.
• Familiarity with data visualization tools and techniques.

Benefits

• Competitive salary range of $127,000 - $170,000 based on experience and skills.
• Comprehensive benefits package for regular full-time employees.