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Added 4 days ago
J
Staff Data Scientist, Applied ML
Jobber
Remote, Canada
- Full-time
- Remote
Reporting to the Manager, Data Science, the Staff Data Scientist, Applied Machine Learning will own models and systems for automated decisioning. You will train and evaluate models using…
Added 4 days ago
T
Python Developer
Tekshapers
Toronto, ON
- Full-time
We are seeking an experienced Senior AI Software Engineer to support an enterprise AI initiative from use-case discovery through production implementation. The role combines strong Python…
Added 4 days ago
H
Lead AI engineer
Hays
Halifax, NS
- $150,000 to $175,000 CAD / year
- Full-time
Partner with architects and senior engineering leaders on AI services, machine learning platforms, agent-based workflows, data pipelines, and application integrations.
Added 5 days ago
LT
Senior Machine Learning Engineer for AI platform
Lorven Technologies Inc.
Toronto, ON
- Contract
Domain: Enterprise SaaS | Artificial Intelligence & Machine Learning | Regulated Financial Services Role Overview The Senior Machine Learning Engineer is a core technical practitioner…
Added 6 days ago
S
Senior Machine Learning Engineer
Skip
Edmonton, AB
- Full-time
As a Senior ML Engineer you will take a leadership role in shaping the strategic direction of our machine learning infrastructure, proactively identifying opportunities for innovation and…
Added 7 days ago
JE
Senior Machine Learning Engineer
Just Eat Takeaway.com
AB
- Full-time
As a Senior ML Engineer you will take a leadership role in shaping the strategic direction of our machine learning infrastructure, proactively identifying opportunities for innovation and…
Added 7 days ago
TC
Team Lead, AI Engineering
The Citco Group Limited
Halifax, NS
- Full-time
Set technical direction with architects and senior engineers across AI services, machine learning, RAG, document processing, agent workflows, data pipelines, application integration and…
Added 7 days ago
TC
Senior AI Engineer
The Citco Group Limited
Halifax, NS
- Full-time
…support secure, cloud-native and AI-enabled applications. In this senior role, you will lead the technical design and delivery of complex AI and machine-learning capabilities across…
Added 7 days ago
T
Senior AI Engineer
Tangerine
Toronto, ON
- Full-time
Experience with MLOps principles and tools for model versioning (e.g., Git), containerization (e.g., Docker), and continuous integration/continuous deployment (CI/CD) of machine learning…
Added 7 days ago
Senior AI Engineer
Scotiabank
Toronto, ON
Experience with MLOps principles and tools for model versioning (e.g., Git), containerization (e.g., Docker), and continuous integration/continuous deployment (CI/CD) of machine learning…
Added 8 days ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
We’re hiring a Senior Machine Learning Engineer to architect, build, and deploy high-performance machine learning systems that power technology stack. You will work across the entire ML…
Added 8 days ago
RB
Director, AI Delivery & Portfolio Management – Global Payments Technology
Royal Bank of Canada
Toronto, ON
- Full-time
Reporting to the Senior Director, Program Delivery, you will own end-to-end delivery accountability for this strategic AI portfolio while establishing AI SDLC standards that shape how RBC…
Added 9 days ago
T
Data Science Developer
Transit
Montreal, QC
- $90,000 to $125,000 CAD / year
- Full-time
…this sort of hybrid working arrangement before; or (2) are a senior data engineer currently yearning for the (metaphorical) white lab coat that will let you conduct lots of “data science-y”…
Added 9 days ago
TT
Senior AI Engineer
Tundra Technical Solutions
Toronto, ON
- $80 to $100 CAD / hour
- Contract
We are looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise…
Added 9 days ago
R
Director, AI Delivery & Portfolio Management – Global Payments Technology
RBC
Toronto, ON
- Full-time
Reporting to the Senior Director, Program Delivery, you will own end-to-end delivery accountability for this strategic AI portfolio while establishing AI SDLC standards that shape how RBC…
Added 9 days ago
UR
Senior Forward-Deployed AI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 9 days ago
UR
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the Platform Engineering, AI and Advanced Analytics department. This team acts as a central hub…
Added 9 days ago
UR
Senior Forward-Deployed AI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 9 days ago
UR
Senior AI Engineer, IT Solutions 1
Urban Ridge Supplies
Toronto, ON
- Full-time
We are seeking a highly motivated and technically proficient AI Engineer to join our growing Data & Analytics team. In this role, you will be a key liaison between business stakeholders and…
Added 9 days ago
UR
Senior Applied AI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
The Senior Applied AI Engineer is responsible for designing, developing, and deploying advanced Gen AI and machine learning solutions that
Added 9 days ago
UR
AI Platform Engineering Lead
Urban Ridge Supplies
Toronto, ON
- Full-time
…mentoring other engineers, evaluating platforms, and advising senior leadership. It is a senior role carrying technical leadership responsibility, intended for an engineer-architect who is…
Added 9 days ago
UR
Lead Full-Stack GenAI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Minimum 8 years of progressive experience in software engineering, full-stack development, machine learning engineering, or AI solution delivery
Added 9 days ago
V
Principal AI/ML Engineer
Vanguard
Toronto, ON
- Full-time
As a Principal AI Engineer, you will serve as a senior technical leader responsible for transforming state-of-the-art AI research into scalable, production-ready capabilities that create…
Added 9 days ago
Senior Machine Learning Engineer- AIOS
Zafin
Toronto, ON
As a Machine Learning Engineer, part of Zafin's AIOS Product team, you will build the machine learning and AI systems that power the AIOS Knowledge Fabric and help agents reason over…
Added 9 days ago
AI
AI Platform Engineering Lead
AGF Investments
Toronto, ON
- Full-time
…mentoring other engineers, evaluating platforms, and advising senior leadership. It is a senior role carrying technical leadership responsibility, intended for an engineer-architect who is…

Transit

Data Science Developer

Montreal, QC, Canada

$90,000 to $125,000 CAD / year · Full-time

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Job details

Pay: $90,000 to $125,000 CAD / year
Job type: Full-time
Apply by: Mar 23, 2027
Experience: 4+ years of professional experience as a data engineer or in a hybrid data engineering and data science role
Posting language: English
Posted: Sep 24, 2026

Original job description

Transit isn’t magic. But for millions of our riders, it sure feels that way!

For the last decade our data scientists have come up with increasingly elaborate ways to blow riders’ minds off their hinges - whether by improving their ETA predictions with statistical modelling, or crowdsourcing the location of underground trains using the motion sensors on their phones.

These days, Transit is relied upon as the gold standard of transit data by riders and agencies alike. We’re looking for a senior developer who can bring a mix of analytical rigour and a 1000W creative spark to show us whole new possibilities of what can be done with transit data in our 1100+ supported cities.

You’ll join our team as a two-way player. You’ll guard the pipelines and backend services which ferry data between transit servers and riders’ phones, and you’ll also dream up data experiments and perform exploratory analysis, statistical modelling, and pattern extraction. Ideally you’ve either (1) operated in this sort of hybrid working arrangement before; or (2) are a senior data engineer currently yearning for the (metaphorical) white lab coat that will let you conduct lots of “data science-y” experiments as part of your day-to-day.

By joining our team, you’ll help shape commuting patterns in over 40 countries, with each basis point of added precision resulting in fewer missed buses and trains. If you succeed in your mission? You’ll restore riders’ confidence in their local transit service, and help cities fulfill their potential by getting more of those pesky cars off the road!

Here’s what we’ll need on your end:

📝 Responsibilities

Own data products and features end-to-end: from problem framing and exploratory data analysis (EDA), through statistical modelling and pattern extraction, into pipelines, deployment, monitoring, and iteration
Using your battle-tested wisdom and analytical chops, help us design, build, deploy and monitor scalable backend services and data pipelines on Google Cloud Platform (BigQuery, Airflow, Pub/Sub, Cloud Run)
Run complex EDA and statistical analysis on Transit’s most interesting datasets (GPS traces, GTFS and GTFS-Realtime feeds, ridership signals, rider behaviour) and turn what you find into models, heuristics, and product improvements that get used in the app
Build production-grade machine learning systems for problems like ETA prediction, demand forecasting, and anomaly detection on real-time feeds
Own the full ML lifecycle from training through monitoring and retraining
Partner closely with our data scientists, product engineers, and DevOps folks and act as the bridge between research-grade ideas and rider-grade systems
Mentor newer developers on software craft and statistical thinking
Lead design reviews and help us maintain a culture of impeccable craftsmanship, reliability, and ingenuity
Champion engineering standards (testing, observability, DevOps, CI/CD) across our data and ML systems
Keep up-to-date with what’s happening on the frontier. We’re living in exciting times!

✅ Requirements

Regardless of whether you’re a hybrid data engineer-slash-scientist or a senior data engineer eager to cannonball into the data science side of things, to succeed in this role you’ll need to be a researcher at heart with strong engineering fundamentals. Our ideal candidate will have:

4+ years of professional experience as a data engineer or in a hybrid data engineering and data science role
Strong skills in Python (and ideally TypeScript), with a track record of owning backend systems and data pipelines end-to-end
Hands-on experience with cloud platforms, ideally GCP, with services like BigQuery, Pub/Sub, Cloud Run, and Dataflow
Solid foundations in statistics, EDA, and data modelling on large, messy, real-world datasets. You don’t need to have shipped advanced ML models, but you should already be analytically literate and clearly motivated to deepen this side of your craft
A demonstrated interest in data science work (share some notebooks!)
Comfort with relational and non-relational databases (PostgreSQL, Redis, etc.) at scale
Familiarity with Docker, Kubernetes, and modern CI/CD
You remember to include “Rage Against The Lachine” in the subject line of your email
Strong communication and collaboration skills across engineers, data scientists, product, and biz folks. You should be the kind of senior who makes the people around them better

💯 Would be nice if

Experience taking machine learning models from prototype to reliable production service (training, evaluation, deployment, monitoring, retraining)
Experience with feature stores, model registries, or modern MLOps tooling
Familiar with Airflow and other workflow orchestration tools
Geospatial, time-series, or streaming data experience at scale
Familiarity with public transit data standards (GTFS, GTFS-Realtime) or other mobility datasets
Background in experimental design (A/B testing, causal inference, robust evaluation)
Open-source contributions, conference talks, or technical writing - send us links, we want to see your thinking!

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

$90,000 - $125,000 CAD per year, based on experience

Stock options
RRSP/FHSA contributions
Comprehensive medical and dental coverage
5 weeks vacation
Four-day work week at full-time salary (yes, you read that right)
Apple laptop and equipment
$1,600 annual mobility allowance. STM? BIXI? Uber? E-bike? Scooter? Going car-free is free at Transit.
A training and development budget
Generous maternal/paternal/parental leave policy. Gotta fill out our tandem bicycles somehow!
Flexible work hours
Spend your days surrounded by first-rate teammates and the best view of Montreal and/or [insert exotic Zoom background]
When you’re in the office: you’ll be in urbanist heaven, surrounded by Mile End’s urban gardens, bike paths, BIXI docks, bus stops, a metro station, and limitless restaurants… cafés… bars… concert halls… bagel boutiques…
Communal lunch-and-learn with free food in the office each week

👨 💻 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 use, 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

Must be located in Montreal, or willing to relocate.

Shoot us an email at jobs+hybriddata@transitapp.com with:

Your resume
A quick summary of who you are and why you’re interested in the role
Some analysis you’ve done in the past (GitHub, Jupyter notebook, blog post, PDF, paper, whatever) that shows us how you think and what you can do

We look forward to meeting you!

PS: When you apply, let us know how you heard about the position! Whispers, grapevines, middle-of-the-night Google searches? We’re dying to know.

PPS: Unfortunately, we don't accept in-person applications or singing telegrams. Make your application sing instead!

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More about this job

Responsibilities

Own data products and machine learning systems end-to-end, from exploratory analysis and statistical modeling through production pipelines, deployment, monitoring, and iteration. Build and maintain scalable backend services on Google Cloud, collaborate across data science and engineering teams, and mentor developers while promoting reliable engineering practices.

Requirements

Requires at least four years of professional data engineering or hybrid data engineering and data science experience, strong Python skills, and experience owning backend systems and data pipelines. Candidates should have cloud-platform experience, statistical and exploratory analysis foundations, database and CI/CD familiarity, and strong communication and collaboration skills.

Skills

Python
TypeScript
Data Engineering
Data Science
Statistical Analysis
Exploratory Data Analysis
Machine Learning
Data Modeling
Backend Development
Data Pipelines
Google Cloud Platform
BigQuery
Airflow
Pub/Sub
Cloud Run
PostgreSQL

Benefits

Stock Options
RRSP/FHSA Contributions
Medical And Dental Coverage
Five Weeks Of Vacation
Four-Day Work Week At Full-Time Salary
Apple Laptop And Equipment
Annual Mobility Allowance
Training And Development Budget
Parental Leave
Flexible Work Hours
Weekly Communal Lunch And Learn With Free Food

Visa sponsorship

Not detected in the job text

Keywords

Python
TypeScript
Google Cloud Platform
BigQuery
Airflow
Pub/Sub
Cloud Run
Dataflow
PostgreSQL
Redis
Docker
Kubernetes
CI/CD
Data Engineering
Data Science
Exploratory Data Analysis
Statistical Modeling
Machine Learning
MLOps
ETA Prediction
Demand Forecasting
Anomaly Detection
Data Pipelines
Backend Services
GTFS
GTFS-Realtime
Geospatial Data
Time-Series Data
Streaming Data
A/B Testing

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