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Part Time Remote Data Science Jobs in Toronto, ON

Mercor

Penetration Tester | Upto $2150 Part-time

Toronto, ON · Remote

CA$1.7K - CA$2.1K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to threat analysis ... Annotate, label, and validate data across cybersecurity use cases like CVE classification accuracy ...

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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, and why are they important?

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 Toronto, ON? The most popular types of Remote Data Science jobs in Toronto, ON are:
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Part Time Remote Data Science jobs near you
Penetration Tester | Upto $2150 Part-time

Penetration Tester | Upto $2150 Part-time

Mercor

Toronto, ON • Remote

CA$1.7K - CA$2.1K/wk

Part-time

Re-posted 11 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Cybersecurity Expert
Type: Contract
Compensation: $1,750–$2,150 per completed task
Location: Remote

Role Responsibilities

  • Review and evaluate AI-generated outputs related to threat analysis, vulnerability assessment, and security architecture recommendations.
  • Create realistic scenarios based on cybersecurity workflows such as incident response runbooks, threat hunting queries, and penetration testing reports.
  • Annotate, label, and validate data across cybersecurity use cases like CVE classification accuracy and SIEM alert triage.
  • Provide structured feedback on AI accuracy in areas such as cybersecurity frameworks (NIST CSF, MITRE ATT&CK) and threat intelligence standards (STIX/TAXII).
  • Collaborate asynchronously with research teams to refine evaluation frameworks for cybersecurity AI.

Qualifications

Must-Have

  • 3+ years of professional experience in cybersecurity at an enterprise organization, MSSP, consultancy, or government/defense environment.
  • Background in areas such as SOC analysis, incident response (DFIR), penetration testing, threat intelligence, or security architecture.
  • Strong analytical thinking and ability to translate security operations into structured evaluation tasks.
  • Clear written communication and attention to detail.

Preferred

  • Professional certifications like CISSP, CISM, CEH, OSCP, GIAC certifications, Security+.

Compensation & Legal

  • Task Completion Pay: Competitive and based on task quality.
  • Performance Bonus: Weekly bonus incentive for top performers.
  • Hourly Opportunity: Transition to hourly compensation for sustained quality.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.