Head of Data

Vaga não está no LinkedIn

🕒 Março 17

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

HappyCo

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2011

☁️ SaaS

🏠 Imobiliário

💰 $52.000.000 Venture Round em 2022-01

SaaS • Real Estate

A HappyCo é uma empresa de tecnologia especializada em soluções de gestão imobiliária sob medida para propriedades Multifamily. Oferece software que otimiza operações como manutenção, gestão de locações e gestão de ativos, integrando inteligência artificial para ampliar a eficiência e a satisfação dos residentes. A HappyCo visa centralizar e padronizar as operações imobiliárias, oferecendo ferramentas para atualizações em tempo real, controle de despesas e solicitações de serviço. A empresa foca em aprimorar a experiência de moradia dos residentes e em melhorar a produtividade dos gestores de propriedades.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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