Data Scientist/Scientifique de Données

Our Mission

Local Logic is digitizing the built world to make it universally understandable and actionable for consumers, investors, developers, and governments with the ambition of helping build cities that are more sustainable and equitable for the people who live in them.

To achieve that dream, we’ve built a digital twin of cities, quantifying the built world using data and AI to interpret the $217T real estate market throughout the US and Canada.

We started our journey at McGill University’s urban planning department, where we came to see that cities were being developed in all kinds of unsustainable ways. It became clear to us why: cities are incredibly difficult to understand. However, we realized that with recent advances in data science, all the complexity of cities could be made simple enough for anyone to understand.

Today, Local Logic delivers sophisticated location insights through webtools, APIs, one-click reports and a data analytics platform powered by billions of data points we’ve generated.

Your Mission

As Data Scientist at Local Logic, you will be responsible for quantitative research on cities and real estate, on the one hand, and our product usage, on the other hand – all with the goal of helping to inform product strategy and to discover hidden value in our city and real estate data.

As Our Data Scientist, Your Responsibilities Will Include:

1. Conduct research on the value of our city and real estate data for the problems that matter for our target users and customers.
2. Setup product analytics pipelines and reports for internal and external use.
3. Develop the proof-of-concept for new data products and collaborate with data engineers to productionize them.
4. Contribute to a culture of data-informed decision-making.
5. Be a steward of data quality.
6. Collaborate with product managers, developers, designers, other data scientists, and data engineers to contribute to product roadmap and requirements-gathering activities.
7. Communicate across technical and non-technical teams internally about insights you generate in your analyses.
8. Write reports for clients in French and English.

Key Requirements:

1. At least 2 years of experience working as a data scientist in a company with very large quantities of data.
2. At least 3 years of experience doing quantitative research (academic experience counts).
3. Experience with product analytics.
4. Experience with machine learning and/or other modeling techniques.
5. Experience with programming in Python and SQL for data analysis.
6. Fluent in French and English.
7. Embracing change in a startup environment.
8. Embracing ambiguity.
9. This is a hybrid position and it is expected that you will work from the Montreal office 2 days a week.

Nice to Have:

1. Domain knowledge about the real estate sector and urban planning.
2. Experience working with geospatial, multivariate and spatio-temporal data.

Why Should You Work Here?

At Local Logic, you have an amazing opportunity to be an early team member of a Series B backed startup. We are focused on understanding the world and its cities to predict the future and make the real estate market more transparent.

We are a people-first company that strives to create the best experience for our employees by creating an inclusive, collaborative, challenging environment to learn and problem-solve on a daily basis.

You will have access to benefits such as:

1. Comprehensive health insurance.
2. Stock options.
3. Unlimited vacation.
4. Health and benefit allowance per year.
5. Initial WFH allowance.
6. A cool office in the heart of Montreal.

Your professional development is our priority. With a 1500 CAD annual professional development credit, you’re encouraged to keep learning, explore new skills, and advance in your career.

Our Commitment to Diversity & Inclusion

We’re aiming to build a diverse team and inclusive company culture. We are an equal opportunity employer (EOE) and do not discriminate based on any legally protected status.