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Added 2 months ago
S
Senior Full-Stack Developer
SJC
Toronto, ON · North York, ON
- $100,000 to $120,000 CAD / year
- Full-time
Our engineering team is seeking a Senior Full-Stack Developer to play a key role in the engineering function for our Media organization. In this role you will be responsible for maintaining…
Added 2 months ago
OW
Oliver Wyman Actuarial – M&A Consulting Actuary – US P&C
Oliver Wyman
Toronto, ON
- Full-time
Ability to lead and manage projects, including effective delegation and client solution development
Added 2 months ago
SI
Principal Physical Design Methodology Engineer
Synopsys Inc
Markham, ON
- Full-time
You can explain a complex PPA tradeoff to a design lead in two sentences without losing the technical nuance, and you can explain the same tradeoff to a tool developer in the level of…
Added 2 months ago
MC
Staff Software Engineer
Moody's Corporation
Toronto, ON
- Full-time
…candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through…
Added 1 month ago
GM
Staff Engineer, Site Reliability Engineering
General Motors
Markham, ON
- Full-time
…operate. You will work with SRE, data engineering, infrastructure, developer experience, application, and product teams to improve reliability from design through production and…
Added 2 months ago
C
Infrastructure Operations Engineer-EN
CAE
Montreal, QC
- Full-time
…tackle complex challenges, collaborate across functions, and lead advancements that shape our industry. Supported by a culture of flexibility, growth, and innovation, join us to create a…
Added 2 months ago
JG
Test Data Management
J&M Group
Toronto, ON
- Full-time
Development Skill: Java Required, Python nice to have
Added 2 months ago
NS
Lead AI Back-End Engineer
Network Solutions
Canada
- Full-time
The impact you’ll make as a Lead AI Back-End Engineer
Added 2 months ago
BE
Senior Hydrogeologist/Hydrogeological Engineer - Modeller - All Canadian Locations
BGC Engineering Inc.
Vancouver, BC
- Full-time
…mining sector. The successful candidate will act as a technical lead, independently building and defending numerical models, mentoring junior staff, and contributing their expertise to help…
Added 2 months ago
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GenAI Architect
Lantern
Vancouver, BC
- Full-time
We are seeking a visionary Architect with deep expertise in Generative AI to lead the design and delivery of intelligent solutions using the Microsoft Azure AI stack. You will work closely…
Added 2 months ago
ND
Lead AI Back-End Engineer
Newfold Digital
Canada
- Full-time
The impact you’ll make as a Lead AI Back-End Engineer
Added 2 months ago
ES
Systems Software Engineer - EA SPORTS™ NHL
EA SPORTS
Vancouver, BC
- Full-time
Work together with a team of Systems engineers in a collaborative environment and report to a team lead.
Added 1 month ago
NV
Mission Software Lead
North Vector Dynamics Inc.
Calgary, AB
- Full-time
…multi-sensor air defence system. We are seeking a Mission Software Lead to own this function from the ground up: command and control, sensor and effector integration, and the interfaces…
Added 1 month ago
NV
Embedded Linux Engineer
North Vector Dynamics Inc.
Calgary, AB
- Full-time
…and real-time software. You’ll report to our Flight Software Lead and work directly with our GNC, avionics, and electrical teams to bring the flight computer from bench to flight. If you…
Added 1 month ago
Senior Manager, JSOC & Threat Hunting
Questrade Financial Group
Toronto, ON
JSOC leadership: Lead the Joint Security Operations Centre as a highly technical, hands-on leader across three teams: SOC and Incident Response, Threat Operations and Engineering, and…
Added 1 month ago
LC
Software Development Manager
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Lightspeed Financial Services is looking for a Software Development Manager in North America to grow and lead our technical team within the Financial Services organization.
Added 2 months ago
B
Senior Site Reliability Engineer I
Braze
Toronto, ON
- Full-time
Lead NGINX & Kubernetes Ingress Infrastructure
Added 2 months ago
B
Senior Site Reliability Engineer I
Braze
Vancouver, BC
- Full-time
Lead NGINX & Kubernetes Ingress Infrastructure
Added 1 month 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 1 month ago
MG
Software Development Manager
MISTRAS Group
AB
- Full-time
Lead, mentor, coach, and develop a team of Software Development Engineers and technical specialists
Added 1 month ago
LC
Software Development Manager
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Lightspeed Financial Services is looking for a Software Development Manager in North America to grow and lead our technical team within the Financial Services organization.
Added 1 month ago
LC
Software Development Manager
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Lightspeed Financial Services is looking for a Software Development Manager in North America to grow and lead our technical team within the Financial Services organization.
Added 1 month ago
LC
Software Development Manager
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Lightspeed Financial Services is looking for a Software Development Manager in North America to grow and lead our technical team within the Financial Services organization.
Added 1 month ago
Data Scientist - Algorithms, Mapping
Lyft
Toronto, ON
Prioritize and lead deep dives into our data to uncover new product and business opportunities
Added 2 months ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
Lead Machine Learning Engineer – AI Innovation Teams

Lyft

Data Scientist - Algorithms, Mapping

Toronto, ON, Canada

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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.

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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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