Data Scientist

Location: Montréal, QC

*** Mention DataYoshi when applying ***

Ridership is in flux. Uncertainty about “who’s riding” is at all-time highs. Transit agencies need real-time insights to understand what’s happening in their cities — and so do the companies and academic partners that serve them.

And then there’s Transit: Where are people booking trips? Where are folks headed? What modes are they taking? Transit network planners would weep at having the data you’ll have access to. You will be tasked with teasing meaning and insight out of all that data — from O-D matrices, to survey analysis — to help our agency and operator partners deliver better service on the ground, while also protecting user privacy with swords and dragons.

If your brain is wired for cities, if organizing data gives you a dopamine rush, and if improving one of the world’s most highly-used navigation apps would make you feel like a QUEEN at the end of each day, this job is for you. You’ll be trusted to reach elegant, simple conclusions from our big black box of user data, complemented by in-app and in-person research.


You’ll draw insights from existing data sources, have input into the way we collect and structure our data, test all the hypotheses (okay not all the hypotheses), create forecasts with that data, and talk data with our partners. You’ll design our in-app surveys and analyze the results. Since we’re not a giant company, you’ll get to determine how we package the data that partners care about — in a way that makes the most sense, and improves service.

✅ Requirements

  • You have a degree or hard-won experience in a quantitative field: stats, applied math, or econ — convince us it’s relevant. Bonus points for an advanced degree, lots of experience, and/or special projects you are legally sworn from talking about.
  • Your portfolio of work shows you can make data sing in reality, not just in theory
  • You’re always asking questions, and able to find something interesting in any dataset.
  • SQL and noSQL queries that befuddle other mortals are, to you, mere child’s play.
  • “Making sense of geospatial data is fun” — you.
  • You have a facility for Python, R, other languages used in analyzing data.
  • You can calculate the required sample size for statistical significance for a survey (perhaps you already have while reading this sentence…) and you can tell us why it’s not actually significant since it’s a convenience sample.
  • You are an organized, analytical problem solver with strong written, oral and visual communication skills.

Would be nice if…

  • You have experience with data engineering, ETL.
  • You can talk smack about modern machine learning techniques.
  • You have experience turning out production-ready code.
  • Passion for urbanism: you find cycling glamorous, you can navigate your city’s public transit system without a map, and you believe free parking should only ever exist on a Monopoly board.
  • Even better: you’ve worked at a transit agency or private mobility provider, or have a degree in transportation.

Don’t feel like all the requirements apply to you but you still think you’d be a great fit for Transit? Don’t hesitate to apply!

Compensation and benefits

  • Competitive salary and stock options
  • Comprehensive medical and dental coverage
  • 5 weeks vacation
  • Apple laptop and equipment
  • $1,500 annual mobility allowance. STM? BIXI? Uber? E-bike? Scooter? Going car-free is free at Transit.
  • A training and development budget
  • Flexible work hours
  • Spend your days surrounded by first-rate teammates and the best view of Montreal Zoom backgrounds in the world

‍ A note on diversity

Public transit is used by overwhelmingly more women and people of colour than other modes of transportation. We try to make sure the diversity of our users is reflected in the team that serves them. Because when we include people of all races, genders, sexual orientations, ages, and identities — we end up building a better app for everyone who uses Transit.

We encourage candidates of all ages, genders, origins and orientations to apply. If you’d like to specify which pronouns you’d like to be referred to, feel free to include that in your application email.

And if your lived experience has given you a unique perspective on all things transportation, mobility, accessibility, urbanism? Let us know, and we’ll make sure your application gets the attention it merits.

How to apply

Send your resume, a brief explanation of why you want to work for Transit, a sample of an analysis you’ve done (including the final product), and any other information you find relevant to

*** Mention DataYoshi when applying ***

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