Manager, Data Science Engineering

Hi, We’re AppFolio

We’re innovators, changemakers, and collaborators. We’re more than just a software company – we’re pioneers in cloud and AI who deliver magical experiences that make our customers’ lives easier. We’re revolutionizing how people do business in the real estate industry, and we want your ideas, enthusiasm, and passion to help us keep innovating.

We are looking for a Manager of Data Science Engineers to join the Data Science & Analytics Department. Your team will be instrumental in developing data models in dbt not only for our chat-to-data skill in Realm-X, structuring our product data in the most optimized fashion for LLM interpretation for customers, but also for delivering curated data models to power departmental insights, success metrics, and robust high-dimensional data for root cause analysis across key initiatives in Sales/Marketing, Resident product, Client Services, and our broader AppFolio Property Manager product.

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Your Impact 

• Setting Vision & Strategy
• Develop the “data roadmap” for the highest import, most commonly derived metrics on customer/resident behavior, and structure multipurpose source logic into consolidated dbt models.
• Balance high-impact near-term wins while building customer and product adoption data foundations to power departmental and company-wide success.  Our ability to extract and deliver value from our data to our customers and internally is a key opportunity for market differentiation and solidifying our position in the PropTech space.
• Continuously evaluate how best to leverage and implement best practices to guide a cross-functional team of Data Science Engineers, analysts, and scientists to curate data models in dbt to build connective tissue of applied business logic on hierarchical data that power company-wide shared metric definitions, naming conventions, and insights.
• Driving Outcomes
• Collaborate cross-functionally to ideate on permutations data structures that cater to multiple enterprise-scale products and applications.
• Perform data discovery of stakeholders' needs, help design solutions, and collaborate with Engineering on how their infrastructure should affect data transformation design.
• Design and enhance data models, schemas, quality testing, and database designs to support efficient and accurate data streaming in production for the chat-to-data use case.
• Create, maintain, and augment some of our most complex data pipelines and transformations, and ability to lead advanced analytics, data quality, and data modeling projects from end-to-end, while mentoring other DSEs, and setting best practices in methods/techniques/tooling.
• Develop data documentation, including data dictionaries, data lineage, and awareness of integration processes.
• Fostering Growth
• Partner with Data Science leadership to build and maintain shared infrastructure/tooling for data visualization, model development, deployment, and orchestration while focusing on the developer experience. 
• Lead, Hire, and manage the deliverables and careers of a newly consolidated team of data science engineers.

Must Haves

• Minimum of 8+ years of work experience in a Technical Data role, Analytics/Data Engineering or Data Science.
• Full stack Data Science experience: Demonstrated success in bridging the gap between high-level project requirements and complex application data
• Data engineering: expertise in dbt, engineering best practices, and skills to build and deploy model pipelines to production.
• Expertise in building and contributing to semantic data layers  
• Data analysis and exploration: Exploratory data analysis skills are critical for every full stack data scientist, and the results help answer critical business questions.
• Applied Statistics - Statistical modeling and support of production systems. Understanding of statistical concepts and practical experience applying them (Familiarity with machine learning and infrastructure - model training/evaluation, ML applications). 
• Proficiency in SQL and Python-based (pandas or pyspark) tooling for data transformation.
• Communication - You have a wealth of experience helping product teams make great decisions with data.

Compensation & Benefits

The base salary that we reasonably expect to pay for this role is $148,000-$200,000.

The actual base salary for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, etc.

Please note that base pay is one important aspect of a compelling Total Rewards package. The base pay range indicated here does not include any additional benefits or bonuses that you may be eligible for based on your role and/or employment type.

Regular full-time employees are eligible for benefits - see here.

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