Staff Data Scientist

🔥 14 minutes ago

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Logo of CINC Systems

CINC Systems

201 - 500 employees

Founded 2005

☁️ SaaS

🏠 Real Estate

🤝 B2B

💰 Private Equity Round - CINC Systems on 2023-12

SaaS • Real Estate • B2B

CINC Systems is a cloud-based, all-in-one software platform for community association management (HOAs and COAs) that helps management companies, boards, and homeowners streamline operations and improve resident experience. The platform provides financial management and oversight (including online payments and a secure payment portal), AI-driven reporting and forecasting (Cephai), communication and resident engagement tools, online voting and surveys, maintenance/work-order coordination, compliance tracking, and centralized data and insights. CINC targets professional association management firms and homeowner boards with automation, security, and scalability; the company reports 1,000+ association management company customers, 51,000+ homeowner associations served, 6M+ doors, and $11B+ payments processed annually.

📋 Description

• Explore large, complex datasets to uncover patterns, anomalies, and opportunities • Design and evaluate statistical and machine learning models to support insight discovery and hypothesis testing • Partner with product, engineering, and business stakeholders to frame questions and translate findings into actionable insights • Conduct feature exploration and selection to inform downstream AI and analytics initiatives • Design experiments and analyses to validate assumptions and measure impact • Develop prototypes and proofs of concept that demonstrate the potential value of new models or approaches • Communicate results clearly through narratives, visualizations, and written recommendations • Stay current with advances in data science, statistics, and applied machine learning • Collaborate with Data Engineering and AI Engineering teams to transition validated ideas into production-ready work • Mentor other data scientists and analysts, raising the level of analytical rigor across the organization

🎯 Requirements

• 10+ years of experience in data science, applied research, or advanced analytics roles • Strong foundation in statistics, probability, and experimental design • Experience designing and evaluating machine learning models for classification, regression, clustering, or forecasting • Proficiency in Python and common data science libraries • Experience working with large datasets in SQL-based and analytical data environments • Ability to reason about data quality, bias, and limitations

🏖️ Benefits

• Health insurance • Professional development opportunities

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