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New Grad jobs in Canada

PhD New Grad - Data Scientist, Algorithms - Rider Pricing (Optimization)

PhD New Grad - Data Scientist, Algorithms - Rider Pricing (Optimization)
Rocket Lab
Toronto
CAD 108,000 - 135,000
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PhD New Grad - Data Scientist, Algorithms - Rider Pricing (Optimization)

PhD New Grad - Data Scientist, Algorithms - Rider Pricing (Optimization)
Lyft
Toronto
CAD 108,000 - 135,000

PepsiCo Foods - Sales Leadership Program - Edmonton

PepsiCo Foods - Sales Leadership Program - Edmonton
PepsiCo
Edmonton
CAD 45,000 - 60,000

Licensed Practical Nurse (LPN) (TPT 0.5)

Licensed Practical Nurse (LPN) (TPT 0.5)
VON Canada
Stellarton
CAD 52,000 - 70,000

Public Health Nurse - Multi-site

Public Health Nurse - Multi-site
Cencora | Pharma solutions
Abbotsford
< CAD 1,000
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Public Health Nurse

Public Health Nurse
Cencora | Pharma solutions
Abbotsford
CAD 60,000 - 80,000

Public Health Nurse

Public Health Nurse
Cencora | Pharma solutions
Delta
CAD 60,000 - 80,000

HR Talent Acquisition Representative II

HR Talent Acquisition Representative II
Airswift
Calgary
CAD 60,000 - 80,000
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Material Handler / Driver - Vanfax

Material Handler / Driver - Vanfax
Vanfax
Saskatoon
CAD 35,000 - 45,000

EDC Student Fall 2025 Opportunities – General Stream

EDC Student Fall 2025 Opportunities – General Stream
Export Development Canada
Ottawa
CAD 42,000 - 49,000

Electrical Designer (Junior)

Electrical Designer (Junior)
Cybertech Electric Inc.
Edmonton
CAD 55,000 - 75,000

Optometrist - Moulton Optical

Optometrist - Moulton Optical
FYidoctors
Sarnia
CAD 100,000 - 125,000

Embedded Security Software Developer – New Grad 2025

Embedded Security Software Developer – New Grad 2025
Ciena
Ottawa
CAD 66,000 - 106,000

New Grad Registered Nurse (RN)

New Grad Registered Nurse (RN)
BAYADA Home Health Care
Hamilton
CAD 60,000 - 80,000

New Grad - Fuel Program Specialist

New Grad - Fuel Program Specialist
Canadian Nuclear Laboratories
Chalk River
CAD 60,000 - 80,000

FEC Design Engineer ( PhD. - New Grad )

FEC Design Engineer ( PhD. - New Grad )
Ciena Canada, Inc.
Ottawa
CAD 80,000 - 120,000

Nurse Practitioner (np)

Nurse Practitioner (np)
White Spot
Prince George
CAD 145,000 - 161,000

Nurse Practitioner (np)

Nurse Practitioner (np)
White Spot
Prince Rupert
CAD 145,000 - 161,000

Future Opportunities, Early Careers

Future Opportunities, Early Careers
Klick
Toronto
CAD 60,000 - 80,000

Nurse Practitioner (np)

Nurse Practitioner (np)
White Spot
Quesnel
CAD 145,000 - 161,000

Family Medicine Physician - South Bend, IN

Family Medicine Physician - South Bend, IN
Duly Healthcare
Dawn-Euphemia
CAD 200,000 - 300,000

WaveLogic Systems Design Architecture Engineer - New Grad

WaveLogic Systems Design Architecture Engineer - New Grad
Ciena
Ottawa
CAD 67,000 - 107,000

Associate Dentist

Associate Dentist
MLP Dental
Northwestern Ontario
CAD 70,000 - 100,000

Continuing Care Assistant (CCA) - Part-time 0.75

Continuing Care Assistant (CCA) - Part-time 0.75
VON Canada
Town of Berwick
CAD 60,000 - 80,000

Field Service Engineer, AV

Field Service Engineer, AV
Evertz Microsystems Limited
Burlington
CAD 60,000 - 80,000

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Renewable Energy jobs

PhD New Grad - Data Scientist, Algorithms - Rider Pricing (Optimization)

Rocket Lab
Toronto
CAD 108,000 - 135,000
Job description

At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Data Science is at the heart of Lyft’s products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems by leveraging optimization and inference to shape critical business decisions. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing.

We are hiring a New Grad Data Scientist to join the Pricing team. The Pricing team owns the models and software systems that determine the prices shown to riders. Working with our business and analytics partners, the team owns tools to ensure Lyft offers competitive prices while making efficient financial trade-offs. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment. In this role, you will report to a Data Science Manager.

Responsibilities:
  • Partner with Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context
  • Prioritize and lead deep dives into our data to uncover new product and business opportunities
  • Be familiar with production code; collaborate with Software Engineers to implement algorithms and models in production
  • Design, implement, and analyse different types of experiments, and facilitate and foster data-driven and informed decision making and prioritization
  • Establish metrics that measure the health of our products, as well as rider and driver experience
  • Drive collaboration and coordination with cross-functional teams
  • Provide coaching and technical guidance for other teammates
Experience:
  • Ph.D. in Operations Research, or other quantitative fields or related work experience
  • Proven experience with building and evaluating optimization models
  • Proficiency with Python and working in a production coding environment
  • Passion for solving unstructured and non-standard mathematical problems
  • End-to-end experience with data, including querying, aggregation, analysis, and visualization
  • Strong verbal and written communication skills, and ability to collaborate and communicate with others to solve a problem
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 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

Lyft proudly pursues and hires a diverse workforce. 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 now if you wish to make such a request.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. 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. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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