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Data Science Entry Level Remote Jobs in Toronto, ON

Applied AI Engineer

Toronto, ON · Remote

CA$110K - CA$150K/yr

ML or data science work, especially in complex or data-constrained environments * Working knowledge ... Fully remote * RRSP contribution at 3% * Competitive health benefits T he expected salary for ...

We're experts in data science, analytics and programmatic trading, and we're always ready to react ... Flexible work environment with both remote and in office attendance and fun team building ...

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... data scientists, and pathology domain experts to integrate research into production systems ...

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... data scientists, and pathology domain experts to integrate research into production systems ...

... data analysis and reporting. The role includes travel to remote sites, extended assignments, and ... The brightest engineers, advisors and scientists from across the globe call WSP home. * Proudly ...

... data analysis and reporting. The role includes travel to remote sites, extended assignments, and ... The brightest engineers, advisors and scientists from across the globe call WSP home. * Proudly ...

Showing results 21-40

Data Science Entry Level Remote information

What is a data science entry level remote job?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.

What skills and qualifications are needed to thrive as an entry-level remote data scientist?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

What challenges do entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

What is the difference between Data Science Entry Level Remote vs Data Analyst Entry Level Remote?

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What are popular job titles related to Data Science Entry Level Remote jobs in Toronto, ON?

For Data Science Entry Level Remote jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Data Science Entry Level Remote jobs in Toronto, ON look for?

The top searched job categories for Data Science Entry Level Remote jobs in Toronto, ON are:

Infographic showing various Data Science Entry Level Remote job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.

Early Career Software Developer- Embedded Software

Markham, ON • On-site, Remote

General Motors
Transportation Equipment Manufacturing • 10K+ employees

CA$73K - CA$110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

Based on 311 frontline employees who took The Breakroom Quiz


Job description

Job Description

Vacancy Status:

This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)

AI Disclosure:

As part of the application process, Artificial Intelligence will be used in the hiring process for this role.

Work Arrangement

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham Elevation Centre (MEC) three times per week at minimum, or other frequency dictated by the business.

The Role:

We are looking for a new graduate Software Developer with an interest in distributed systems and fleet scale device management to help build, test, and maintain our embedded control and data plane infrastructure. This is a great opportunity to start your career working on software that runs across GM's entire vehicle fleet, with direct mentorship from senior engineers on the team.

The ideal candidate has a strong foundation in software development (C/C++) from coursework, internships, or personal projects, hands on experience from a collegiate engineering design team such as Formula SAE, SAE AutoDrive Challenge, or EcoCAR, curiosity about open source technologies, and an eagerness to learn how production grade software is designed, tested, and supported.

About the Team:The Device Data Capture Organization builds the embedded and cloud software that moves data off GM's vehicles and configuration onto them. Our data plane runs on the vehicle's ECUs collecting and uploading data, and our control plane pushes configuration out to the fleet from the cloud. Teams across GM rely on this, from Super Cruise and AV engineers training models to quality teams diagnosing field issues.

Key Responsibilities:

  • Design, implement, and maintain the on vehicle control plane that retrieves configuration from the cloud and applies it across the vehicle's ECUs.

  • Design, implement, and maintain the on vehicle data plane that collects, processes, and forwards data from vehicle systems to cloud storage.

  • Contribute to optimizing our control and data plane for reliable data egress and configuration delivery over intermittent connectivity, rapid convergence to new configuration, and a minimal CPU and memory footprint on the target ECU.

  • Work with cloud services such as Azure, AWS S3, and Firestore for configuration delivery, device state reporting, and data egress.

  • Collaborate with DevOps and Cloud teams to help roll out new on vehicle software and configuration safely.

  • Instrument our software with the observability needed to monitor the fleet, diagnose issues in production, and resolve them at the source.

  • Contribute to the open source community by reporting issues, contributing to documentation, and submitting patches.

Required Qualifications:

  • Bachelor's or Masters Degree in Computer Science, Computer Engineering, Data Science, Data Engineering, Mechatronics, Robotics, Mechanical Engineering, Electrical Engineering, or a related field

  • Open to those who have graduated or will be graduating between January 2026- May 2027

  • Able to work full-time, 40 hours per week

Preferred Qualifications:

  • Experience on a collegiate engineering design team such as Formula SAE, SAE AutoDrive Challenge, EcoCAR, Baja SAE, or similar, building and delivering a vehicle system as part of a team.

  • Experience with C, C++, or a related language through coursework, internships, or personal projects.

  • Exposure to Linux, Android, or QNX platforms through coursework, internships, or personal projects.

  • Foundational understanding of distributed systems, configuration management, or data pipelines, gained through coursework or projects.

  • Strong problem solving skills and a willingness to dig into and troubleshoot complex issues.

  • Excellent communication skills and the ability to work effectively in a team environment.

  • Eagerness to learn how to deliver and support software in a production environment.

  • Familiarity with vehicle communication protocols (UDS, CAN, SOME/IP, XCP) or Autosar standards.

  • Understanding of network communication and security protocols, including mTLS and certificate based device identity.

  • Familiarity with cloud platforms (AWS, GCP, Azure) and their device management services (IoT Hub, IoT Core, Pub/Sub, or equivalent).

  • Familiarity with OpenTelemetry.

  • Internship or project experience with fleet management, OTA, or remote configuration systems, or contributions to Fluent Bit or other data intensive open source projects.

  • Experience working with Firestore.

  • Exposure to CI/CD pipelines and automation tools.

Compensation:

The salary range for this role is $73,900 to $110,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Sponsorship: PLEASE ONLY APPLY IF YOU DO NOT NEED SPONSORSHIP TO WORK IN CANADA NOW OR IN THE FUTURE. WE ARE UNABLE TO CONSIDER CANDIDATES WHO REQUIRE SPONSORSHIP

Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada Company, please advise if you require accommodation.

For more information about GM Canada, visit our website at www.gm.ca/careers


General Motors of Canada values diversity and is an equal opportunity employer.

Benefits Overview

The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:

  • Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.

  • Healthcare, dental, and vision benefits.

  • Life insurance plans to cover you and your family.

  • Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.

  • GM Vehicle Purchase Plan for you, your family.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


What General Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


General Motors logo

About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908