HappyCo logo
HappyCo

Real-time property operations for property management. Inspect, manage and monitor your assets from anywhere, instantly.

Head of Data

Data ScientistData ScientistFull TimeRemoteLeadTeam 51-200Since 2011H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

2 days ago

Salary

Not specified

Seniority

Lead

Bachelor Degree8 yrs expEnglishBigQueryPythonSQL

Job 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

Job 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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