Data & Statistical Researcher

5 days ago

Remote, Canada UNLOCKLAND Full time US$39,933 - US$119,621 per year

About UnlockLand

UnlockLand is building an AI Operating System for Real Estate Development, enabling developers, investors, and asset managers to plan, manage, and optimize real estate projects with speed and precision.

By combining proprietary AI, spatial data, financial modelling, and market analytics, our platform delivers automated feasibility studies, cost modelling, predictive analytics, and scenario planning — all within a collaborative, cloud-based interface.

Recognized as:

  • 2025 Canada's Top 100 AI Startups
  • BC Tech Startup of the Year
  • BC Tech AI Game changer

We believe real estate decisions should be data-first, transparent, and scalable, so that complex development projects become more predictable, capital-efficient, and aligned with stakeholder goals.

This role is ideal for a researcher who thrives at the intersection of data science, urban analytics, and AI-driven decision systems.

Key Responsibilities

Data Collection & Research Design

  • Develop and refine methodologies for collecting real estate, zoning, economic, demographic, and infrastructure datasets.
  • Build scalable processes for integrating structured and unstructured data into UnlockLand's AI models.
  • Define sampling methods, validation approaches, and statistical protocols to ensure high data integrity.

Statistical Analysis & Modeling

  • Analyze large-scale geospatial and development datasets to identify trends, correlations, and predictive patterns.
  • Apply advanced statistical techniques to support feasibility scoring, risk modeling, and scenario forecasting.
  • Work closely with AI engineers to improve model accuracy, training data quality, and output explainability.

Insights & Communication

  • Translate complex research findings into clear insights for internal teams, enterprise clients, and government partners.
  • Prepare analytical summaries, charts, and briefs for executive decision-making.
  • Collaborate with product, engineering, and strategy teams to shape data-driven features and new intelligence modules.

Ideal Profile

  • Strong foundation in statistics, econometrics, data analytics, or quantitative research.
  • Experience working with large datasets—preferably in real estate, urban planning, economics, or geospatial analysis.
  • Familiarity with predictive modelling, statistical testing, or machine learning workflows.
  • Excellent communication skills and ability to present findings to both technical and non-technical audiences.
  • Passion for AI, PropTech, and using data to transform how cities plan and grow.

Job Type: Full-time

Pay: $39,633.84-$119,621.59 per year

Work Location: Remote

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