ZipRecruiter

Log In

3

Part Time Remote Data Science Jobs in Ontario (NOW HIRING)

Financeit

Administrative Clerk, Recovery Team

Toronto, ON · On-site +1

CA$20 - CA$25/hr

... on a part-time basis. In this role, you will support administrative tasks for our recovery ... If you thrive in a fast-paced environment and have a knack for data integrity and clear ...

Financeit

Administrative Clerk, Recovery Team

Toronto, ON · On-site +1

CA$20 - CA$25/hr

... on a part-time basis. In this role, you will support administrative tasks for our recovery ... If you thrive in a fast-paced environment and have a knack for data integrity and clear ...

Talencore

CA$30 - CA$50/hr

Employment Type: Part-Time Contract Location: Remote, but must be physically located in Canada or ... Schema & Structured Data * Implement and maintain structured data across key website pages.

Talencore

CA$30 - CA$50/hr

Employment Type: Part-Time Contract Location: Remote, but must be physically located in Canada or ... Ability to optimize campaigns based on performance data. * Strong communication and reporting ...

Mindrift

CA$38/hr

This role focuses on professional judgment and engineering rigor , not data labeling or traditional ... Fully remote, flexible, part-time freelance work * Contribute to how future AI systems reason about ...

New

Stantec

CA$114K - CA$164K/yr

Tasks will include technical data compilation / assessment / validation, specification development ... Actual compensation for part-time roles will be pro-rated based on the agreed number of working ...

previous page

Showing results 21-40

All JobsData Science JobsPart Time Remote Data Science JobsPart Time Remote Data Science Jobs in Ontario

Part Time Remote Data Science information

How do part time remote data scientists typically collaborate with full time team members and stay aligned on project goals?

Part-time remote data scientists often use collaboration tools like Slack, Zoom, and project management platforms to communicate regularly with full-time team members. They participate in scheduled check-ins, contribute to shared documentation, and frequently update progress on assigned tasks to ensure alignment with project goals. Clear communication and proactive scheduling help address challenges such as different time zones and limited overlapping hours. This structure supports strong teamwork and keeps part-time contributors integrated into the broader data science workflow.

What is the difference between Part Time Remote Data Science vs Part Time Remote Data Analysis?

AspectPart Time Remote Data SciencePart Time Remote Data Analysis
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; sometimes certifications in machine learning or data analysisBachelor's in Data Analysis, Statistics, or related fields; certifications in Excel, SQL, or data visualization tools
Work EnvironmentRemote, project-based, often involves coding, modeling, and algorithm developmentRemote, focuses on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, business consulting, retail, finance

Part Time Remote Data Science involves more technical skills like machine learning and programming, while Part Time Remote Data Analysis emphasizes interpreting data and creating reports. Both roles are remote and part-time but differ in technical complexity and focus areas.

What is a part time remote data science job?

A part time remote data science job involves working with data to analyze, interpret, and generate insights for organizations, but on a flexible, reduced hour schedule and entirely from a remote location. Typical tasks may include data cleaning, statistical analysis, building machine learning models, and creating data visualizations. These roles are ideal for individuals seeking work-life balance, students, or professionals looking to supplement their income while working from home. Employers often require proficiency in programming languages like Python or R, experience with data tools, and strong analytical skills.

What are the key skills and qualifications needed to thrive as a part time remote data scientist?

To thrive as a Part Time Remote Data Scientist, you need a solid understanding of statistics, programming (typically Python or R), and data analysis, usually reinforced by a degree in a relevant field or equivalent work experience. Familiarity with tools such as SQL, Jupyter Notebooks, and machine learning libraries like scikit-learn or TensorFlow, as well as version control systems like Git, is commonly expected. Strong problem-solving skills, effective communication, and self-motivation are crucial for managing projects independently and collaborating remotely. These skills enable you to deliver actionable insights and value to organizations while maintaining productivity and accountability in a flexible, remote environment.
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 Part Time Remote Data Science jobs in Ontario? For Part Time Remote Data Science jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Data Science jobs in Ontario look for? The top searched job categories for Part Time Remote Data Science jobs in Ontario are:
What cities in Ontario are hiring for Part Time Remote Data Science jobs? Cities in Ontario with the most Part Time Remote Data Science job openings:
Part Time Remote Data Science jobs near you
Infographic showing various Part Time Remote Data Science job openings in Ontario as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.

Digital Health Student

Hamilton Health Sciences

Hamilton, ON • Remote

Part-time

Posted yesterday

New

Job description

Remote Symptom Monitoring Equipment Biomedical Services Intern will participate in initiatives across Health Information Technology Services (HITS) portfolio which includes informatics and solution delivery, application support, data analytics, security and infrastructure and biotechnologies. This exciting opportunity is available for motivated individuals with knowledge of information technology and the intersection with clinical and business policies and processe. Remote Symptom Monitoring Equipment Biomedical Services Intern will be a key member of HITS and will closely work with its members and members of the HHS virtual care teams.  They use their knowledge of health care processes, informatics principles and processes, and health informatics tools to assist both clinical colleagues and the information technology groups to achieve common aims. They work collaboratively with health-care and information technology professionals, project managers, as well as clients and vendors to develop biomedical service  tools to promote to improve efficiency, reduce costs and enhance the quality of patient care. They will support remote symptom monitoring device management, which may include, but may not be limited to: labelling of components, preparation of kits, tracking the location of delivered and returned kits, cleaning the components of returned kits, submitting HITS tickets to have date wiped from returned devices, and preparation of shipping labels for kit delivery to patients and alternate hospital sites, and, retrievals as required. They will contact patients to arrange pick up times as needed. They will monitor and order equipment accessories and parts as required to maintain a fleet of remote symptom monitoring equipment. As well, participating in USER testing implementation for new virtual care opportunities. Participating in evaluation projects to elicit patient satisfaction with virtual care. Directly reporting to the Biomedical Services Manager and working collaboratively and supporting with other activities with virtual care programs when delegated by the Operational Clinical Leader and/or Manager. Further, they may be asked to develop stakeholder needs assessments for education content and strategies and participate in implementation and evaluation of education programs.

Bachelor's degree in a health of science-related discipline, or an equivalent combination of education and experience. Master's degree in progress is preferred.
Demonstrated ability to analyze and participate in the redesign of complex clinical process
Demonstrated expertise with Microsoft products
Demonstrated ability to utilize initiative, vision, independent thinking and creative problem-solving abilities to implement project plans
Demonstrated proficiency in time management, ability to work effectively under time pressure to meet deadlines, balance work priorities and resolve problems in a timely manner
Demonstrated ability to relate and work with employees at all levels of organizations in the health care field.
Demonstrated commitment to the Mission, Vision and Values of HHS and its partners
Demonstrated proficiency in leadership and facilitation skills
Demonstrated comprehensive knowledge of project management principles and methodologies and ability to implement a corporate methodology as well as coach team members on these skills
Demonstrated an understanding of the data interrelationships and dependencies among the various health information systems e.g. decision support systems, electronic health records, order entry, etc.
Demonstrated commitment to continuing education, professional development and life-long learning
Demonstrated ability to initiate and model positive changes

Apply