Head of Data

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🕒 March 17

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HappyCo

51 - 200 employees

Founded 2011

☁️ SaaS

🏠 Real Estate

💰 $52M Venture Round on 2022-01

SaaS • Real Estate

HappyCo is a technology company specializing in property management solutions tailored for multifamily properties. It offers software that optimizes operations such as maintenance, leasing management, and asset management, integrating artificial intelligence to enhance efficiency and resident satisfaction. HappyCo aims to centralize and standardize property operations, providing tools for real-time updates, expense tracking, and service requests. The company focuses on enhancing the living experience for residents and improving productivity for property managers.

📋 Description

• Define and execute HappyCo’s overall data strategy aligned with company and product goals • Establish the roadmap for analytics, machine learning, and data platform evolution • Collaborate with Product and Engineering leadership to identify high-value opportunities for data-driven insights and AI features • Build and mentor a small data team including data engineers and analysts • Design and implement a canonical entity model that connects data across operational systems • Lead the development of HappyCo’s property graph / knowledge layer, linking entities such as businesses, properties, units, inspections, work orders, and maintenance performance • Develop entity resolution approaches using deterministic rules, fuzzy matching, geospatial matching, and machine learning where appropriate • Oversee the architecture and evolution of HappyCo’s data platform, including the data warehouse, pipelines, and transformation layers • Guide development of scalable data ingestion and transformation pipelines using tools such as BigQuery, Databricks, Dataflow, and Pub/Sub • Establish best practices for data quality, lineage, and governance • Enable internal teams with reliable analytics and insights derived from unified data • Develop benchmark metrics and analytical models that help customers understand performance and opportunities for improvement • Support the creation of self-service analytics capabilities across the company • Prototype and implement predictive models that leverage unified data sets

🎯 Requirements

• 8+ years of experience working in data science, data engineering, or analytics roles • Experience designing data architectures and data models for complex operational systems • Strong experience working with data warehouses and distributed data processing systems • Hands-on experience building analytical models or machine learning systems • Demonstrated ability to translate business questions into data-driven solutions • Experience working cross-functionally with product and engineering teams • Strong proficiency in SQL and Python • Experience with modern data platforms (e.g., BigQuery, Snowflake, Databricks) • Experience building data pipelines and transformation workflows • Familiarity with machine learning workflows and model deployment • Experience with entity resolution, data modeling, or knowledge graph concepts is highly desirable • Ability to operate effectively as both a strategic leader and hands-on contributor • Strong communication skills with both technical and non-technical stakeholders • Experience mentoring and developing data professionals • Comfort working in a fast-moving startup environment

🏖️ Benefits

• Work from anywhere supported by a flexible company culture • Opportunity to work for one of the fastest growing technology companies in the PropTech industry • Unlimited vacation time • Generous paid parental leave • Competitive and equitable pay, including stock options • Monthly stipends to support Wellness and Home Office expenses

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