Data Scientist for Urban Development and Real Estate Insights

4 days ago


Montreal, Quebec, Canada Local Logic Full time
About Local Logic

Local Logic is revolutionizing the way we understand the built world, making it universally accessible and actionable for various stakeholders. Our mission is to create more sustainable and equitable cities by providing cutting-edge location insights.

Company Overview

We've made significant strides in digitizing the built world, leveraging data and AI to interpret the massive real estate market in the US and Canada. Our journey began at McGill University's urban planning department, where we identified the need for a digital twin of cities. Today, Local Logic delivers sophisticated location insights through innovative web tools, APIs, and a robust data analytics platform powered by billions of data points.

Job Description

As a Data Scientist at Local Logic, you will be responsible for conducting quantitative research on cities and real estate, as well as analyzing our product usage. Your primary goal will be to inform product strategy and discover hidden value in our city and real estate data.

Responsibilities
  • Conduct research on the value of our city and real estate data for solving problems that matter for our target users and customers.
  • Setup product analytics pipelines and reports for internal and external use.
  • Develop proof-of-concept for new data products and collaborate with data engineers to productionize them.
  • Contribute to a culture of data-informed decision-making.
  • Be a steward of data quality.
  • Collaborate with product managers, developers, designers, other data scientists, and data engineers to contribute to product roadmap and requirements-gathering activities.
  • Communicate across technical and non-technical teams internally about insights generated in analyses.
  • Write reports for clients in English.
Requirements
  • At least 2 years of experience working as a data scientist in a company with large quantities of data.
  • At least 3 years of experience doing quantitative research (academic experience counts).
  • Experience with machine learning and/or other modeling techniques.
  • Experience with programming in Python and SQL for data analysis.
  • Fluent in English.
  • Embracing change in a startup environment.
  • Domain knowledge about the real estate sector and urban planning.
  • Experience working with geospatial, multivariate, and spatio-temporal data.
About the Role

This is a hybrid position, and it is expected that you will work from the Montreal office 2 days a week. As an early team member of a Series B-backed startup, you'll have the opportunity to shape the company's future and contribute to its growth.

Benefits
  • A competitive salary: $120,000 - $150,000 per year.
  • A cool office in the heart of Montreal.
  • Opportunities for professional growth and development.
  • A dynamic and supportive team environment.


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