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

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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 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:

AI Engineer AI Observability and Quality

IDC Research Inc.

Toronto, ON • On-site, Remote

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

About the Role & Team
IDC is building the next generation of AI-powered intelligence platforms that transform how technology decisions get made. Our platform re-imagines the way decision-makers discover and interact with trusted research and data, and is foundational to IDC's future. 

We are looking for an AI Engineer – AI Observability and Quality to establish the evaluation function for the platform's AI systems. This is a solo function initially. You will design and build the evaluation infrastructure that ensures the platform produces accurate, well-sourced, high-quality responses. You will be the first hire in this function and must be able to operate independently, defining your own roadmap and building from scratch. 

The platform's credibility depends on the quality of its AI-generated intelligence. You will build the automated test suites, regression detection systems, and evaluation frameworks that catch quality issues before they reach users. You will work closely with the product team to translate quality criteria into measurable, automatable test scenarios, and with the AI engineering team to ensure that every pipeline change is evaluated against rigorous standards. 


What You’ll Do

  • Design and build the evaluation infrastructure that ensures the platform's AI systems produce accurate, well-sourced, high-quality responses
  • Build automated test suites that validate answer quality across agent pipeline changes
  • Develop regression detection systems that catch quality degradation before it reaches users
  • Create evaluation frameworks that measure response accuracy, citation correctness, and source quality
  • Work closely with the product team to translate quality criteria into measurable, automatable test scenarios
  • Build cost and latency monitoring that tracks the operational efficiency of AI pipeline execution
  • Define evaluation standards and practices that scale as the platform and team grow

What You Bring 

  • 6+ years of software engineering experience, with significant work in testing infrastructure, ML evaluation, or quality systems
  • Experience building evaluation or testing frameworks for LLM-based or ML-based systems
  • Understanding of how to measure response quality for generative AI: accuracy, groundedness, citation correctness, relevance
  • Proficiency in Python
  • Ability to operate independently and define your own roadmap. You will be the first hire in this function
  • Experience working at the intersection of engineering and product, translating qualitative quality criteria into quantitative measurements
  • Experience with LLM evaluation frameworks (e.g., RAGAS, DeepEval, or custom)
  • Familiarity with LLM observability tools (e.g., Langfuse, LangSmith, Weights & Biases)
  • Background in statistical methods for quality measurement (significance testing, distribution analysis)
  • Experience building A/B testing or experimentation infrastructure
  • Background in search relevance evaluation or information retrieval metrics

Why This Role Stands Out
At IDC, your work helps shape how the world understands technology and where it goes next. You collaborate with curious, high-caliber colleagues who value rigor, integrity, and shared success. As the premier global provider of trusted technology intelligence, IDC equips business and technology leaders with the evidence they need to make confident decisions. Our insights inform strategy, investment, and innovation across industries and regions.

Recognized by IIAR as Analyst Firm of the Year for five consecutive years, IDC sets the standard for credibility and impact. With more than 1,000 analysts worldwide and a truly global perspective, we combine deep expertise with practical relevance. Here, your ideas matter, your voice is heard, and your contributions provide the insights leaders rely on every day. It is meaningful work, backed by a culture that supports growth, collaboration, and long-term career development with a globally respected brand.

What We Offer

  • 15 vacation days per year (increases with tenure; carryover allowed)
  • 10 paid sick days per year
  • 1 week paid new parenting leave
  • Flexible work options (remote, part-time, flexible hours)
  • Health, dental, vision, and paramedical coverage for you and your family
  • Annual healthcare spending account
  • Employee Assistance Program for counseling and support
  • Best Doctors medical second opinions
  • Life, AD&D, and long-term disability insurance
  • Retirement savings plan with company match (up to 4% of salary)
  • $75/month technology allowance for home office or phone expenses
  • Company-paid cell phone plan

Compensation Transparency

At IDC, we are committed to fair and equitable pay practices. Employees are compensated equitably for their work, aligned with their skills and experience. Salary and incentive structures are determined through a rigorous process that considers experience, education, certifications, role-specific requirements, internal equity, and verified Canada market data from an independent third-party partner.
The expected total annual compensation, depending on location and experience, is between 100,000 CAD - 143,000 CAD, inclusive of base salary and variable compensation.

Equal Opportunity Employer

IDC is committed to providing equal employment opportunities for all qualified persons. Employment eligibility verification required. We participate in E-Verify.

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