Jobs in Canada

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Added 2 months ago
TA
Data Architect (Knowledge Graph & Data Governance)
Tiger Analytics
Toronto, ON
- Full-time
…100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have…
Added 2 months ago
UH
Research Technical Assistant - AI and Multimodal Foundation Models
University Health Network
Toronto, ON
- Part-time
Working closely with the Lead AI Scientist, staff scientists, clinicians, and domain experts, students will participate in cutting-edge research aimed at building AI systems capable of…
Added 2 months ago
Director, AI & Data Science (Marketing Measurement & Effectiveness)
Artefact
Montreal, QC
Three ingredients make that possible, and very few firms have all three: the data, real and messy and at enterprise scale; an applied AI team that can put a model into a governed production…
Added 2 months ago
Data Scientist - Algorithms, Mapping
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 2 months ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
…you’ll help reinvent an industry using decades‑deep proprietary data and a modern tech stack, free from heavy legacy. Backed by full enterprise support, you’ll build reliable, explainable…
Added 2 months ago
C
Prototype Technician
CURA
Calgary, AB
- Full-time
…has to make parts real, get them running, and generate the data that proves or disproves each design decision. If you like working with your hands on real hardware and care about getting…
Added 2 months ago
S
Group Leader - Biologics
SGS
Mississauga, ON
- $65,000 to $90,000 CAD / year
- Full-time
Write and review technical data, documents, SOPs and proposals as required.
Added 2 months ago
W
Machine Learning Engineer - Financials
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
5+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including…
Added 2 months ago
EG
AI - Full Stack Engineer
Emterra Group
Remote, Canada
- $110,000 to $120,000 CAD / year
- Full-time
- Remote
AI-102 (Azure AI Engineer Associate) or DP-100 (Azure Data Scientist) certification
Added 2 months ago
EH
Machine Learning Scientist
Eli Health
Remote, Canada
- Full-time
- Remote
Eli is looking for an on-site Applied Machine Learning Scientist to join our ML team and help solve challenging real-world problems involving imperfect, noisy, and complex datasets.
Added 2 months ago
JG
Data Scientist
J&M Group
Toronto, ON
- Full-time
Experience with Azure data tools - azure, databricks, MLflow, python
Added 2 months ago
MN
Scientist Equine
Mérieux NutriSciences - North America
Burnaby, BC
- $36 to $40 CAD / hour
- Full-time
We Are Looking For a Scientist Equine In 4606 Canada Way, Burnaby, B.C. V5G 1K5 CAN. Your Mission Will Be To
Added 2 months ago
WI
Early Professional, Environmental Scientist
WSP in Canada
Dartmouth, NS
- Full-time
As an Environmental Scientist/Environmental Technician with our Site Assessment and Remediation team in Dartmouth, NS, you'll support the monitoring, investigation, and remediation of…
Added 2 months ago
WI
Early Professional, Environmental Scientist
WSP in Canada
Dartmouth, NS
- Full-time
As an Environmental Scientist/Environmental Technician with our Site Assessment and Remediation team in Dartmouth, NS, you'll support the monitoring, investigation, and remediation of…
Added 2 months ago
V
Wheat Breeding Scientist
Vylor
Saskatoon, SK
- Full-time
PhD in plant breeding or plant genetics, with an emphasis in the areas of genetics and data analytics is preferred
Added 3 months ago
BP
Data Scientist
BNP Paribas
Montreal, QC
- Full-time
In-office presence is required a minimum of 3 days per week, one of which must be on a Monday and/or a Friday
Added 2 months ago
I
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
- Full-time
We are looking for a Lead Applied AI and Data Scientist to establish and lead the applied AI & data science practice, a new capability within IFS Copperleaf’s AI Engineering &…
Added 2 months ago
TC
Junior Aquatic Scientist
Trinity Consultants Canada
Whitehorse, YT
- Full-time
We are looking for a dedicated Aquatic Scientist to join Trinity Consultants Canada Water & Ecology. The position provides an opportunity to join a team of experienced, skilled, and…
Added 2 months ago
E
Data Scientist
EIZIE
MB
- Full-time
We are seeking a talented and analytical Data Scientist to join our dynamic data team. As a Data Scientist, you will play a crucial role in extracting valuable insights from large datasets,…
Added 2 months ago
A(
Machine Learning Resident - Client: Fillip Fleet
Amii (Alberta Machine Intelligence Institute)
Edmonton, AB
- Full-time
Kunwar Saaim, Machine Learning Scientist and Amor Provins, Product Owner, Advanced Technology
Added 2 months ago
C
Data Architect
Capco
Toronto, ON
- Full-time
Capco is looking for an experienced Data Architect with deep expertise across data flows, data integration, data sources, and enterprise data architecture. You’ll work with clients to…
Added 2 months ago
A
Applied Scientist, Tax Engine
Amazon
Vancouver, BC
- Full-time
…Science on complex real world problems, backed with high volume data ? Whether you're passionate about building highly scalable and reliable systems or a scientist who likes to solve…
Added 2 months ago
Data Science, Decisions - Airports
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid
Added 2 months ago
BS
Sr. Data Scientist
B3 Systems
Toronto, ON
- Full-time
B3 enables enterprise manufacturers to digitize their operations and use AI to improve performance. Our AI & Data Science team builds the models, monitors, and AI features behind the…
Added 2 months ago
CM
Machine Learning Engineer
Clarius Mobile Health
Toronto, ON
- Temporary
Design, optimize, and maintain ML data pipelines for efficient processing and training

Lyft

Data Scientist - Algorithms, Mapping

Toronto, ON, Canada

Apply on app.careerpuck.com About employer

Applications open in a new tab.

Job details

Experience: 3+ years hands-on experience in a data science or machine learning role working with production machine learning models and optimization systems
Posting language: English
Posted: Sep 1, 2026

Original job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

As a Data Scientist on the Mapping team, you will collaborate with our world class team of scientists, engineers, product managers, and designers to grow and improve the quality of recommended routes and accuracy of our travel time estimations. We're looking for a passionate, driven Data Scientist who is excited to dive into our geospatial, behavioural and mobility data, and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers.

Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first. The Mapping team serves models and systems that determine the most efficient routes, fastest travel estimates and process real-time map data signals to detect traffic, closures and slowdowns. Working with our business and analytics partners, the team owns tools to ensure Lyft offers routes that our users trust. This will involve identifying and scoping opportunities, recommending technical solutions, designing experiments, and measuring the impact of new features. You will help us solve some of the most impactful problems in Mapping, including:

How do we accurately predict acute and chronic traffic conditions?
How do we improve the recommendations of our routing algorithms?
How do we keep our travel estimation promises to our riders and drivers?
How do we benchmark and measure the success of our services?

Responsibilities:

Own the complete lifecycle of algorithmic solutions from problem formulation, data exploration, and feature engineering to deployment, monitoring, and iteration
Prioritize and lead deep dives into our data to uncover new product and business opportunities
Partner closely with Engineering to build and scale production-grade ML systems, real-time inference services, batch pipelines, and feature stores
Design, implement, and analyze different types of experiments, and facilitate and foster data-driven and informed decision making and prioritization
Drive scientific excellence by introducing modern techniques in ML, optimization, reinforcement learning, or graph-based methods to unlock new product capabilities
Establish metrics that measure the health of our products, as well as rider and driver experience
Translate complex business challenges into concrete algorithmic solutions in close collaboration with Product, Engineering, Operations, and Science teams

Experience:

Advanced degree in a quantitative field such as statistics, physics, economics, operations research, neuroscience, or engineering, or relevant work experience
3+ years hands-on experience in a data science or machine learning role working with production machine learning models and optimization systems
Passion for solving unstructured and non-standard mathematical problems
Experience independently driving multi-project algorithmic scopes and navigating technical ambiguity from ideation to delivery
Experience with machine learning models in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments
Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners
Working knowledge of modern machine learning frameworks and distributed computing systems, including PyTorch, TensorFlow, Ray, Spark, etc.

Benefits:

Extended health and dental coverage options, along with life insurance and disability benefits
Mental health benefits
Family building benefits
Child care and pet benefits
Access to a Lyft funded Health Care Savings Account
RRSP plan with company match to help save for your future
In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

Apply on app.careerpuck.com About employer

More about this job

Responsibilities

You will own the complete lifecycle of algorithmic solutions for mapping, from problem formulation and data exploration to deployment and monitoring. You will also partner with engineering and product teams to build scalable ML systems that improve routing accuracy and travel time estimations.

Requirements

Candidates must have an advanced degree in a quantitative field and at least 3 years of hands-on experience in data science or machine learning. Strong proficiency in modern ML frameworks and the ability to navigate technical ambiguity are essential.

Skills

Data Science
Machine Learning
Optimization
Reinforcement Learning
Graph-based methods
Feature engineering
Python
PyTorch
TensorFlow
Ray
Spark
Geospatial analysis
Statistical modeling
Data exploration
Algorithmic problem solving

Benefits

Extended health and dental coverage
Life insurance
Disability benefits
Mental health benefits
Family building benefits
Child care benefits
Pet benefits
Health Care Savings Account
RRSP plan with company match
Flexible paid time off
Paid parental leave
Subsidized commuter benefits
Lyft ride credits

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Mapping
Algorithms
Machine Learning
Geospatial Data
Mobility Data
Optimization
Reinforcement Learning
Graph-based Methods
Feature Engineering
Production ML
Real-time Inference
Batch Pipelines
Feature Stores
PyTorch
TensorFlow
Ray
Spark
Data Exploration
Predictive Modeling
Routing Algorithms
Traffic Analysis
Metrics
Product Development
Cross-functional Collaboration

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Work requirements

Jobs in Canada