Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 2 months ago
IG
Data Analytics Specialist
Insight Global
Edmonton, AB
- $50 to $55 CAD / hour
- Contract
The Data Analytics Specialist is accountable for supporting the optimization of transmission asset data, analytics workflows, and asset health tools. In this role, you will develop and…
Added 2 months ago
IO
UDA Business Analyst - Students Seeking Opportunities
Imperial Oil
Calgary, AB
- Full-time
The student will collaborate with site operators, engineers, business stakeholders, data scientists, software developers, and management to understand business needs and translate them into…
Added 2 months ago
D
Sr Data Scientist / Power Systems Analyst
Deloitte
Toronto, ON
- Full-time
We are seeking a highly analytical and client-focused Senior Consultant to join our team as a Data Scientist / Power Systems Analyst. This role is ideal for a professional who brings a…
Added 2 months ago
Associate Data Scientist
Capgemini
Toronto, ON
1 -2 years industry experience, with work in a quant or data scientist field preferred
Added 2 months ago
A
Scientist, Biomolecular Interactions (12 Month Contract)
Amgen
Burnaby, BC · Canada - Burnaby
- Full-time
Role: Scientist, Biomolecular Interactions (12 Month Contract)
Added 2 months ago
CS
Scientist
Canadian Security Intelligence Service (CSIS) | Service canadien du renseignement de sécurité (SCRS)
Ottawa, ON
- Full-time
Employees must possess and maintain a valid and permanent Canadian driver’s license for the duration of their employment in that position
Added 2 months ago
R
Air Quality Scientist
RWDI
Calgary, AB
- $50,000 to $85,000 CAD / year
- Full-time
RWDI is seeking an Air Quality Scientist Engineer to join our Air Quality Team in our Calgary, AB office.
Added 2 months ago
R
Air Quality Scientist
RWDI
Guelph, ON
- $50,000 to $85,000 CAD / year
- Full-time
RWDI is seeking an Air Quality Scientist Engineer to join our Air Quality Team in our Guelph office.
Added 2 months ago
I
AI & Automation Data Scientist Intern (January 2027 - 4 Months - Toronto or Montreal) / Stagiaire Data Scientist en IA et Automatisation (janvier 2027 - 4 mois - Toronto ou Montréal)
IBM
Toronto, ON
- $68,348.8 to $105,456 CAD / year
- Full-time
As an Intern Data Scientist, you’ll have the unique opportunity to learn and use industry leading data science technologies on a cloud platform (e.g. IBM Cloud, Azure) by working on…
Added 2 months ago
I
AI & Automation Data Scientist Intern (January 2027 - 4 Months - Toronto or Montreal) / Stagiaire Data Scientist en IA et Automatisation (janvier 2027 - 4 mois - Toronto ou Montréal)
IBM
Montreal, QC
- $68,348.8 to $105,456 CAD / year
- Full-time
As an Intern Data Scientist, you’ll have the unique opportunity to learn and use industry leading data science technologies on a cloud platform (e.g. IBM Cloud, Azure) by working on…
Added 2 months ago
SD
Data Scientist
Symbiotic Digital
Toronto, ON · Queen's Park Ontario Provincial Government, Ontario
- Contract
We are seeking a Senior Data Scientist to analyze complex
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…

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

Report this job

Work requirements

Jobs in Canada