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Remote Data Science Intern Jobs in Ontario (NOW HIRING)

Sanofi EU

Data Scientist Manager

Maple, ON · On-site +1

CA$125K - CA$180K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and ...

Sanofi EU

Data Scientist Manager

Toronto, ON · On-site +1

CA$125K - CA$180K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and ...

Sanofi EU

Data Scientist Manager

Brampton, ON · On-site +1

CA$125K - CA$180K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and ...

Sanofi EU

Data Scientist Manager

Mississauga, ON · On-site +1

CA$125K - CA$180K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and ...

Sanofi EU

Data Scientist Manager

Unionville, ON · On-site +1

CA$125K - CA$180K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and ...

Sanofi EU

Lead Data Scientist

Mississauga, ON · On-site +1

CA$108K - CA$157K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and ...

Sanofi EU

Lead Data Scientist

Unionville, ON · On-site +1

CA$108K - CA$157K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and ...

Sanofi EU

Lead Data Scientist

Toronto, ON · On-site +1

CA$108K - CA$157K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and ...

Sanofi EU

Lead Data Scientist

Brampton, ON · On-site +1

CA$108K - CA$157K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and ...

Sanofi EU

Lead Data Scientist

Maple, ON · On-site +1

CA$108K - CA$157K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and ...

Bits In Glass

Intern

Toronto, ON · On-site +1

Remote/Hybrid Description As a ML Developer Intern you will work closely with the ML Developers and ... Work with data engineers and assist in data acquisition, preparation and cleansing from various ...

Fluent, LLC

Data Engineer (Databricks)

Toronto, ON · On-site +1

You will work closely with the Data Engineering team and Data Science partners to build and operate high-impact audience data solutions. This role is fully Remote in the United States or Canada, with ...

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Showing results 21-40

All JobsData Science Intern JobsRemote Data Science Intern JobsRemote Data Science Intern Jobs in Ontario

Remote Data Science Intern information

What is a remote data science intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects does a remote data science intern typically work on, and how do they collaborate with their team?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What are the key skills and qualifications needed to thrive as a remote data science intern, and why are they important?

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.

What is the difference between Remote Data Science Intern vs Remote Data Analyst?

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

What are the most commonly searched types of Remote Data Science jobs in Ontario?

The most popular types of Remote Data Science jobs in Ontario are:

What are popular job titles related to Remote Data Science Intern jobs in Ontario?

For Remote Data Science Intern jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Intern jobs in Ontario look for?

The top searched job categories for Remote Data Science Intern jobs in Ontario are:

What cities in Ontario are hiring for Remote Data Science Intern jobs?

Cities in Ontario with the most Remote Data Science Intern job openings:

Remote Data Science Intern jobs near you
Infographic showing various Remote Data Science Intern job openings in Ontario as of August 2026, with employment types broken down into 44% Internship, and 56% Full Time. Highlights an 100% Remote job distribution.

Data Scientist, International

DoorDash Canada

Toronto, ON • On-site, Remote

Full-time

Re-posted 26 days ago

Job description

About the Team

The Analytics team is looking for Data Analysts and Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our logistics platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash.

About the Role

Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. It is NOT just about building Machine Learning models and putting them into production. This is a rare operational and actionable data-driven experience. 

We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!

You're excited about this opportunity because you will...
  • Be a first-class thought partner to our product, business, finance and executive teams and help them make decisions on what's next for DoorDash
  • Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
  • Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools
  • Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings
  • Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends
  • Identify and measure levers to help move essential metrics and make recommendations
  • Possess excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering and set priorities
  • Be excited to travel to meet with business partners and the teams in each market
We're excited about you because... 
  • 3+ years of experience in data analytics, consulting, or related role
  • The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
  • The determination to initiate and lead/own strategic projects to completion with a cross-functional team
  • Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing
  • Proficiency in at least one programming language (Python, R,...)
  • Expertise with SQL queries, ETLs, etc... 
  • Proficiency in one or more analytics & visualization tools
  • Experience building and training statistical and machine learning models (classifiers, regression models...)

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

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