Mississauga, On Data scientists & statisticians Jobs – 419 Openings This Week

Quantitative AI Evaluator - AI Trainer
DataAnnotation —Mississauga, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Doctoral degree
- Computer Science
- Writing skills
- Flexible schedule
Quick apply
Quantitative AI Trainer
DataAnnotation —Etobicoke, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Doctoral degree
- Computer Science
- Writing skills
- Flexible schedule
Quick apply
AI Data Quality Specialist - AI Trainer
DataAnnotation —Greater Toronto Area, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Doctoral degree
- Computer Science
- Writing skills
- Flexible schedule
Quick apply
Research Data Analyst Neurotrauma
Unity Health Toronto —Toronto, ON
- $42.89–$53.61 an hour
- Temporary
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Outlook
Data Scientist
BMO Financial —Toronto, ON
- $80,000–$175,000 a year
- Azure
- Doctoral degree
- Computer Science
- Tuition reimbursement
- Life insurance
1d
Data Scientist - 12 month contract
CorGTA —Toronto, ON
- $60–$70 an hour
- Contract
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
Baseball Operations - Entry Level Opportunities
Toronto Blue Jays —Toronto, ON
- $24 an hour
- Weekends as needed
- Spanish
- Microsoft Excel
- Computer Science
Quick apply
2d
Research Assistant
DHL —Mississauga, ON
- From $33 an hour
- Part-time
- Research
- Microsoft Office
- Java
Quick apply
5d
Data Science/ Machine Learning Co-op (8 Month - Hybrid)
Oncoustics —Toronto, ON
- Full-time
- Research
Data & Research Analyst
Royal College of Dental Surgeons of Ontario —Toronto, ON
- $91,184.94–$102,583.06 a year
- Full-time
- Doctoral degree
- Master's degree
- Analysis skills
Quick apply
11d
Winter Intern 2027 - Data Science (Toronto Office)
Mackenzie Financial Corporation —Greater Toronto Area, ON
- $49,000–$51,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Databases
- Paid time off
Associate Data Scientist
Capgemini —Toronto, ON
- $60,000–$80,000 a year
- Azure
- Doctoral degree
- Computer Science
- Disability insurance
- Dental care
5d
Data Science, Decisions - Airports
Lyft —Toronto, ON
- $108,000–$135,000 a year
- Hybrid work
- SQL
- No university degree
- Communication skills
- Commuter benefits
- Dental care
9d
Associate Data Scientist
Capgemini Sogeti —Toronto, ON
- $60,000–$80,000 a year
- Azure
- Doctoral degree
- Computer Science
- Disability insurance
- Dental care
5d
Data Scientist, Data Intelligence
World Vision Canada —Mississauga, ON
- $78,400–$98,000 a year
- Full-time
- Azure
- Doctoral degree
- Computer Science
Quick apply
Data scientist
Bondr —Toronto, ON
- Computer science
- Azure
- Doctoral degree
Summer 2027 Intern - Elevate/Data Science [UG/Masters]
Simon-Kucher & Partners —Toronto, ON
- $40 an hour
- Full-time
- Marketing
- English
- Finance
AI Intern for Video and Movie production
Process Research ORTECH Inc. —Mississauga, ON
- From $25 an hour
- Computer Science
- Software troubleshooting
- Research
- Flexible schedule
Quick apply
1d
AI Engineering Lead
Definity Financial Corporation —Toronto, ON
- $108,700–$158,700 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
- Tuition reimbursement
- Paid time off
Specialist, AI Engineering
Definity Financial Corporation —Toronto, ON
- $92,000–$142,000 a year
- Full-time
- Hybrid work
- Computer Science
- Java
- Master's degree
- Tuition reimbursement
- Paid time off

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data scientists & statisticians jobs near mississauga, on

Quantitative AI Evaluator - AI Trainer

DataAnnotation -
Mississauga, ON

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Job details

Contract | Fixed term contract
$50.00–$140.56 an hour

Qualifications

Statistics
Predictive analysis
Statistics
Doctoral degree
Computer Science
Predictive modeling analysis
Writing skills
Engineering
Mathematics
English
Master's degree
Bachelor's
Quantitative modelling analysis
A/B testing
Performing statistical data analysis

Full job description

DataAnnotation is committed to creating quality AI. Help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule.

We are looking for an existing Quantitative AI Evaluator - AI Trainer to help train AI models. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in.

You'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. You can fit this work alongside a full-time role, or treat it as your primary focus, choosing projects and schedules that align with your availability and goals.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Advantages of contracting with us:

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour, with bonus rates available on some projects.
Impact: help shape the future of AI systems built to reason about data and analytics.

Responsibilities:

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Qualifications:

3+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD) is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

Quick apply

Refine Your Search

data scientists & statisticians jobs in mississauga, on

Quantitative AI Evaluator - AI Trainer

Quantitative AI Trainer

AI Data Quality Specialist - AI Trainer

Research Data Analyst Neurotrauma

Data Scientist

Data Scientist - 12 month contract

Baseball Operations - Entry Level Opportunities

Research Assistant

Data Science/ Machine Learning Co-op (8 Month - Hybrid)

Data & Research Analyst

Winter Intern 2027 - Data Science (Toronto Office)

Associate Data Scientist

Data Science, Decisions - Airports

Associate Data Scientist

Data Scientist, Data Intelligence

Data scientist

Summer 2027 Intern - Elevate/Data Science [UG/Masters]

AI Intern for Video and Movie production

AI Engineering Lead

Specialist, AI Engineering

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