Toronto On Data scientist algorithms, mapping Jobs – 978 Openings This Week

Data Scientist - Algorithms, Mapping
Lyft —Toronto, ON
- $108,000–$135,000 a year
- Hybrid work
- Engineering
- Machine learning
- No university degree
- Commuter benefits
- Dental care
4d
Electrical Inspector
Planview Utility Services —Greater Toronto Area, ON
- $28–$33 an hour
- Full-time
- Remote
- Microsoft Word
- Google Suite
- Microsoft Excel
- Mileage reimbursement
- Disability insurance
Quick apply
Senior Full-Stack Developer
Teranet —Toronto, ON
- $120,000–$143,000 a year
- Full-time
- Azure
- Computer Science
- Analysis skills
- Employee assistance program
Aesthetic Nurse Injector
Confidential —Toronto, ON
- $40–$60 an hour
- Full-time
- CPR Certification
- Nursing
- Customer service
- Flexible schedule
Quick apply
4d
Team Leader, Vertical Start Up (VSU)
Give and Go Foods —Toronto, ON
- $90,000–$100,000 a year
- Full-time
- Engineering
- Presentation skills
- Budgeting
- Dental care
- Employee assistance program
Robotics Developer
O’Adventure Limited —Thornhill, ON
- $120,000–$160,000 a year
- Full-time
- Computer Science
- Engineering
- System design
Quick apply
Intermediate Civil Engineer, Stormwater Management
SCS Consulting —Markham, ON
- Full-time
- Civil engineering
- Engineering
- Project management
- Commuter benefits
Quick apply
Data Scientist Manager
Sanofi EU —Toronto, ON
- $125,300.00–$180,966.66 a year
- Hybrid work
- Doctoral degree
- Computer Science
- English
9d
Oracle HCM System Specialist
Chartwell Retirement Residences —Mississauga, ON
- Full-time
- Computer Science
- English
- Research
10d
MEP Content Creator (Autodesk Fabrication .ITM Specialist)
Allied Technical Solutions —Scarborough, ON
- $50,000–$55,000 a year
- Full-time
- Computer Science
- SQL
- Bachelor's
- Dental care
- Paid time off
Quick apply
Database Engineer / Developer
3terra —Mississauga, ON
- $90,000–$110,000 a year
- Full-time
- Hybrid work
- SQL
- Software development
- In-person
- Profit sharing
- Mileage reimbursement
Quick apply
9d
Corrugated Sample Maker
Atlantic Packaging Products Ltd —Brampton, ON
- $54,000–$60,000 a year
- Inventory control
- CAD
- Assembly
- Dental care
- Vision care
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Lead Data Scientist
Sanofi EU —Toronto, ON
- $108,900–$157,300 a year
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
9d
SENIOR BUSINESS APPLICATIONS DEVELOPER - Finance Systems & Integrations
The Printing House —Toronto, ON
- $70,000–$90,000 a year
- Full-time
- Hybrid work
- Azure
- Software troubleshooting
- SQL
Quick apply
12d
NetSuite Service Delivery Consultant
Elim Solutions —Ontario
- $160,000–$180,000 a year
- Full-time
- Remote
- Computer Science
- Software troubleshooting
- Sales
Quick apply
Intermediate Civil Engineer, Stormwater Management - Markham, ON
SCS Consulting —Toronto, ON
- Full-time
- AutoCAD
- Civil engineering
- Schematics
- Commuter benefits
Quick apply
Validation Manager
Accuristix —Woodbridge, ON
- Full-time
- Project management
- Bachelor's
- Team management
Quick apply
Principal Data Scientist (m/f/d)
AutoTrader.ca —Toronto, ON
- $180,000–$220,000 a year
- Computer Science
- SQL
- AWS
- Employee assistance program
Lead Product Engineer, Integrations
servicePath —Ontario
- Full-time
- Remote
- Salesforce
- In-person
- AI
Quick apply
Finance Transformation, Enterprise Performance Management, Senior Associate
Pwc Canada —Toronto, ON
- $84,700–$134,700 a year
- Full-time
- Finance
- Business development
- Agile

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Data Scientist - Algorithms, Mapping

Lyft -
Toronto, ON

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Job details

$108,000–$135,000 a year
4 days ago

Qualifications

TensorFlow
Business intelligence
Statistics
PyTorch
Engineering
Spark
Route planning
Machine learning
Distributed systems
Decision making
Physics
Data analytics
Quantitative modelling analysis
Data science
Cross-functional collaboration
Communication skills
Cross-functional communication

Full 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 Now

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