Data scientist jobs in Mississauga, ON and nearby

Within 25 km

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Data Scientist III - Financial Crimes Network Analytics (ATH 5556)
TD
Toronto, ON
- Full-time
Data Scientist III ( Financial Crimes Network Analytics )
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Applied Machine Learning Scientist II
TD
Toronto, ON
- Full-time
…includes gathering, analyzing, and modeling a wide range of data, applying mathematical models/techniques and tools, and utilizing software engineering best practices to develop and…
Added 1 month ago
HI
Data Scientist
HISH IT SERVICES
Toronto, ON
- $85 CAD / hour
- Contract
…and profitability analytics, you will help clients mine their data, surface opportunities, and design the experiments and attribution models that prove what works. The preliminary…
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I&IT Data Scientist I
Metrolinx
Toronto, ON
- Full-time
The Enterprise AI & Data Centre of Excellence (CoE) within I&IT delivers trusted data, analytics, and AI solutions that help Metrolinx make better decisions and improve business outcomes.…
Added 1 month ago
Senior Machine Learning Engineer, Recommendations
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 1 month ago
Senior Data Scientist I
Bell
Toronto, ON
For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week
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lead data scientist
ApoSys Technologies Inc.
Mississauga, ON
- Full-time
Conduct research regarding availability and suitability of data
Added 1 month ago
CC
Data Scientist
Coca-Cola Canada Bottling Limited
Toronto, ON
- Full-time
Hybrid - This is a hybrid role, requiring 1-2 days per week in the office based on business needs
Added 1 month ago
Data Scientist
CONA Services
Toronto, ON
Hybrid - This is a hybrid role, requiring 1-2 days per week in the office based on business needs
Added 1 month ago
Data Scientist
CONA Services
Toronto, ON
Hybrid - This is a hybrid role, requiring 1-2 days per week in the office based on business needs
Added 1 month ago
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Data Scientist
Aviva Canada
Toronto, ON
- Full-time
As a Data Scientist, you'll contribute to the full model lifecycle, from ideation and development through deployment, monitoring, and continuous improvement. You'll work on high-impact…
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Data Scientist Intern (Jan 2027 12 Months)
SOTI
Mississauga, ON
- Full-time
As a Data Scientist Intern at SOTI, you’ll have the opportunity to work alongside experienced Data Scientists and Engineers on real-world AI and Machine Learning initiatives that support…
Added 1 month ago
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Data Scientist
Charger Logistics Inc.
Brampton, ON
- Full-time
We are looking for a Data Scientist to develop, deploy, and scale machine learning (ML) and AI solutions for fleet analytics, logistics optimization, and operational decision-making. This…
Added 1 month ago
Data Scientist
Aviva
Toronto, ON
As a Data Scientist, you'll contribute to the full model lifecycle, from ideation and development through deployment, monitoring, and continuous improvement. You'll work on high-impact…
Added 1 month ago
Scientifique principal des données I
Bell
Toronto, ON
For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week
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Lead Data Scientist, Customer & Growth Analytics
Thomson Reuters
Toronto, ON
- Full-time
Thomson Reuters Legal is seeking a Lead Data Scientist to help power data-driven growth and adoption of our AI-enabled legal solutions. In this role, you will design, build, and maintain…
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Data Architect, Enterprise Data Management
Hays
Toronto, ON
- Contract
Our client is a leading Canadian financial services organization undergoing a significant enterprise data transformation. As part of its modernization journey, the organization is investing…
Added 1 month ago
Senior Data Scientist
Momentum Financial Services Group
Toronto, ON
…identify opportunities and implement advanced analytics and data science solutions that support business needs and new initiatives. Reporting directly to the Senior Director of Data…
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R&D Engineer- Data Scientist
Tenova
Mississauga, ON
- Full-time
The R&D Engineer - Data Science must possess a degree or diploma in a related field and a minimum of three years of related experience
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Data Architect, Technology Data Management
TD
Toronto, ON
- Full-time
The Data Architect, Technology Data Management role is responsible for designing, governing, and evolving the enterprise technology data architecture that underpins the organization's…
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Data Scientist II
TD
Toronto, ON
- Full-time
Are you passionate about analytics and working with big data? Want to drive change and become a subject matter expert in fraud management? If so, join the Canadian Fraud Performance…
Added 1 month ago
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Data Scientist II
TD
Toronto, ON
- Full-time
Are you passionate about analytics and working with big data? Want to drive change and become a subject matter expert in fraud management? If so, join the Canadian Fraud Performance…
Added 1 month ago
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Senior Data Scientist
Visa
Toronto, ON
- Full-time
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager
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Data Scientist, Data valorization
Desjardins
Mississauga, ON · Toronto, ON
- Full-time
As a data scientist, you provide the data needed to make business decisions, develop solutions and services adapted to business issues and understand member and client behaviour. You lead…
Added 1 month ago
AI and Data - Data Architect - Healthcare
EY
Toronto, ON
We are seeking a Data Architect for our AI & Data practice team. We are looking for a candidate with strong technical leadership background, hands experience with Data Bricks, Pursuits,…

Lyft

Senior Machine Learning Engineer, Recommendations

Toronto, ON, Canada

Apply on app.careerpuck.com About employer

Applications open in a new tab.

Job details

Experience: 5+ years (or Ph.D. with 3+ years) of experience in machine learning modelling or related fields
Posting language: English
Posted: Oct 6, 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.

With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business.

If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you.

We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science.

Responsibilities:

Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions.
System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems.
Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks - critically evaluating new research and identifying high-impact use cases across business areas.
Collaboration: Partner with ML engineers, product managers, data scientists, and software engineers to align ML initiatives with business goals.
Data-Driven Decision Making: Leverage data-driven insights to inform and refine ML strategies and solutions.
Mentorship & Technical Leadership: Provide technical direction, mentor Junior engineers, and foster a culture of learning and collaboration.
Code Quality: Write production-level code and participate in code reviews to ensure quality and share knowledge across the team.

Experience:

M.S. or Ph.D. in Computer Science or related technical field
5+ years (or Ph.D. with 3+ years) of experience in machine learning modelling or related fields
Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks
Understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning
Experience with translating state-of-the-art ML research into production systems
Proficiency in Python, Golang, or other programming language
Proven ability to tackle ambiguous problems and deliver solutions at scale.
Strong communication and interpersonal skills for effective cross-functional collaboration.

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 $149,600-$187,000 CAD, 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

The role involves designing, building, and deploying scalable machine learning models for real-time applications while architecting reliable ML pipelines. You will also provide technical leadership, mentor junior engineers, and collaborate across teams to align ML initiatives with business goals.

Requirements

Candidates must hold an M.S. or Ph.D. in Computer Science or a related field with at least 5 years of experience in machine learning modeling. Proficiency in Python or Golang, deep learning frameworks, and the ability to translate research into production systems are required.

Skills

Machine learning
Deep learning
Recommendation systems
TensorFlow
PyTorch
Python
Golang
System architecture
LLMs
Statistical analysis
Regression analysis
Hypothesis testing
Data science
Technical leadership
Mentorship
Production-ready deployment

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

Machine Learning
Artificial Intelligence
Recommendation Systems
Deep Learning
TensorFlow
PyTorch
Python
Golang
LLMs
Data Science
System Architecture
ML Pipelines
Regression Analysis
Hypothesis Testing
Production Engineering
Applied AI
Software Engineering
Technical Leadership
Mentorship
Ride-sharing
Data-driven decision making
Scalable systems
Algorithm development
Research to production
Cross-functional collaboration

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Data scientist jobs in Mississauga, ON and nearby

Data Scientist III - Financial Crimes Network Analytics (ATH 5556)

Applied Machine Learning Scientist II

Data Scientist

I&IT Data Scientist I