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Remote Data Mining Jobs in Toronto, ON (NOW HIRING)

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

Data Scientist Manager

Maple, ON · On-site +1

CA$125K - CA$180K/yr

Data Scientist Manager Department: 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 ...

Data Scientist Manager

Toronto, ON · On-site +1

CA$125K - CA$180K/yr

Data Scientist Manager Department: 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 ...

Data Scientist Manager

Mississauga, ON · On-site +1

CA$125K - CA$180K/yr

Data Scientist Manager Department: 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 ...

Data Scientist Manager

Brampton, ON · On-site +1

CA$125K - CA$180K/yr

Data Scientist Manager Department: 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 ...

Data Scientist Manager

Unionville, ON · On-site +1

CA$125K - CA$180K/yr

Data Scientist Manager Department: 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 ...

Data Scientist II

Toronto, ON · On-site +1

CA$81K - CA$115K/yr

We are seeking a Data Scientist II to support Private Wealth Management , focused on High-Net-Worth Strategy and Specialized Services (Private Trust, Wealth Insurance and Wealth Advisory Services)

Our portfolio spans 10+ top technologies across business applications, data, process, cloud, and AI. At Bits In Glass, you'll do meaningful work with a supportive, driven team that loves to ...

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of ...

Data Engineer I

Toronto, ON · Remote

CA$69K - CA$98K/yr

TDI Data builds and supports enterprise data products and platforms that enable trusted, scalable, and governed data consumption across the organization, leveraging modern Azure-based data ...

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of ...

Reporting to the Director, Data Platform, you will be responsible for developing and troubleshooting Stored Procedures, SQL, and SQL-based strategy for various teams. Much of your work will focus on ...

HR Business Partner - 3 Month Contract Weir Minerals Canada - Remote We are open to this being a ... Use HR data, reports and trackers to monitor activity, identify follow-up actions and support ...

Showing results 41-60

Remote Data Mining information

See Toronto, ON salary details

$9

$37

$75

How much do remote data mining jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for remote data mining in Toronto, ON is $37.34, according to ZipRecruiter salary data. Most workers in this role earn between $20.65 and $49.32 per hour, depending on experience, location, and employer.

What is remote data mining?

A Remote Data Mining job involves extracting, processing, and analyzing large datasets to uncover patterns, trends, and insights—all while working from a remote location. Professionals in this field use statistical methods, machine learning techniques, and specialized software to transform raw data into actionable insights. These roles are common in industries like finance, marketing, healthcare, and e-commerce, where data-driven decision-making is essential. Remote data miners typically collaborate with teams via digital communication tools and may need proficiency in programming languages like Python or R.

What skills and qualifications are needed for remote data mining?

To thrive as a Remote Data Mining professional, you need strong analytical abilities, statistical knowledge, proficiency in programming languages such as Python or R, and a background in computer science, data science, or a related field. Expertise in data mining tools like SQL, RapidMiner, or Weka and familiarity with data visualization platforms are highly valued, and certifications in data analytics can be advantageous. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating remotely and presenting insights to stakeholders. These skills enable you to extract valuable patterns and insights from large datasets while working independently and aligning with organizational goals.

What are common challenges faced by remote data mining professionals, and how can they be addressed?

Remote data mining professionals often encounter challenges such as managing large and complex datasets, ensuring data privacy, and maintaining effective communication with distributed teams. Addressing these challenges typically involves leveraging secure cloud storage solutions, utilizing robust data analysis tools, and adopting clear documentation and regular virtual meetings to stay aligned on project goals. Additionally, building strong time management habits and being proactive in seeking feedback from team members can help remote data miners stay productive and engaged. Most organizations provide access to collaboration platforms and training to help overcome these obstacles, ensuring a supportive and efficient remote work environment.

How do you become a remote data mining?

To become a remote data miner, you typically need a strong foundation in data analysis, statistics, and programming languages such as Python or R. Gaining experience with data mining tools, databases, and machine learning techniques, along with relevant certifications or degrees, can improve your chances of securing a remote position in this field.

What are the most commonly searched types of Data Mining jobs in Toronto, ON?

The most popular types of Data Mining jobs in Toronto, ON are:

What are popular job titles related to Remote Data Mining jobs in Toronto, ON?

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

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

The top searched job categories for Remote Data Mining jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Remote Data Mining jobs?

Cities near Toronto, ON with the most Remote Data Mining job openings:

Infographic showing various Remote Data Mining 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 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $77,669 per year, or $37.3 per hour.

Data Engineer

Tiger Analytics Inc.

Toronto, ON • Remote

Full-time

Re-posted 19 days ago


Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our team, specifically focused on building scalable Generative AI architectures within the AWS ecosystem. You will architect the data foundations that power LLMs and autonomous agents for our Fortune 500 partners.

Requirements

  • Experience: 8-12 years in Data Engineering with a heavy focus on the AWS Cloud stack.
  • AWS Expertise: Deep hands-on experience with Glue, Athena, EMR, and Redshift.
  • AI/ML Tools: Proficiency in LangChain or LlamaIndex integrated with AWS services to handle unstructured data (text, images, PDFs).
  • DevOps & IAC: Experience deploying infrastructure using AWS CDK or Terraform.
  • Core Skills: Advanced SQL, Python and PySpark skills tailored for distributed processing on AWS.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.