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Remote Data Science Tutor Jobs in Toronto, ON (NOW HIRING)

Morson Talent

25-010 Senior Data Developer

Pickering, ON · Remote

$80 - $95/hr

... Pickering (100% Remote) Job Overview JOB FUNCTION As a Senior Data Developer, you will be ... Collaborate with data architect, business analysts, data scientists, data engineers, data analysts ...

Epistemix

Senior Back End Software Engineer

Toronto, ON · Remote

Demonstrated experience or strong understanding of data science orchestration platforms, such as ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

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Remote Data Science Tutor information

What is a remote data science tutor?

Remote Data Science Tutors are professionals who provide instruction and guidance in data science topics through online platforms rather than in-person sessions. They help students or professionals understand concepts such as statistics, machine learning, data analysis, and programming languages like Python or R. By working remotely, these tutors can offer flexible scheduling and reach students in different geographic locations. Their goal is to support learners in building practical skills and solving real-world data science problems.

What are the key skills and qualifications needed to thrive as a remote data science tutor, and why are they important?

To thrive as a Remote Data Science Tutor, you need a solid background in data science concepts, programming (Python or R), and statistical analysis, usually backed by a degree in a related field and tutoring or teaching experience. Familiarity with tools like Jupyter Notebook, Zoom, and learning management systems, as well as relevant certifications (e.g., Coursera or edX credentials), is typically required. Excellent communication, patience, and the ability to explain complex topics in simple terms help tutors connect with learners and address diverse questions. These skills are essential for effectively guiding remote students, fostering engagement, and ensuring successful learning outcomes in a virtual environment.

What are the most common challenges faced by remote data science tutors, and how can they be addressed?

Remote data science tutors often face challenges such as engaging students virtually, managing diverse learning paces, and ensuring clear communication of complex concepts. To address these, it's helpful to leverage interactive tools like virtual whiteboards and coding platforms, tailor lesson plans to individual student needs, and maintain regular check-ins. Building a supportive online community and providing timely feedback further enhance the learning experience for students and make tutoring more effective.

What is the difference between Remote Data Science Tutor vs Data Science Instructor?

AspectRemote Data Science TutorData Science Instructor
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like CAP or DASCA are commonOften requires advanced degrees and teaching certifications; industry experience is valued
Work EnvironmentWorks remotely, often one-on-one or small groups via online platformsCan be remote or in-person, usually in educational institutions or training centers
Employer & Industry UsageFreelance, online tutoring platforms, educational startupsUniversities, colleges, corporate training programs

While both roles involve teaching data science concepts, a Remote Data Science Tutor typically provides personalized, online tutoring to individual students or small groups, focusing on specific skills or projects. A Data Science Instructor usually teaches larger classes in academic or corporate settings, covering broader curricula. The key difference lies in the scope, environment, and audience of each role.

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

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

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

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

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

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

Remote Data Science Tutor jobs near you
Infographic showing various Remote Data Science Tutor 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.

25-010 Senior Data Developer

Morson Talent

Pickering, ON • Remote

$80 - $95/hr

Full-time

Re-posted 27 days ago

Job description

Job Description Senior Data Developer Level: MP5 Hourly Rate: $80 - $95/hour Duration: 10 Months Hours of work: 35 Location: 889 Brock Rd., Pickering (100% Remote) Job Overview JOB FUNCTION As a Senior Data Developer, you will be responsible for building and supporting the data driven applications which enable innovative, customer centric digital experiences. You will be working as part of a cross-discipline agile team who help each other solve problems across all business areas. You will build reliable, supportable & performant data lake & data warehouse products to meet the organization's need for data to drive reporting analytics, applications, and innovation

You will employ best practice in development, security and accessibility to achieve the highest quality of service for our customers. JOB DUTIES Build and productionize modular and scalable data ELT/ETL pipelines and data infrastructure leveraging the wide range of data sources across the organization. Implement data ingestion and curation data pipelines that offer an integrated, business-centric single source of truth for business intelligence, reporting, and downstream system use, in collaboration with Data Architect.

Work closely with Data Architect, infrastructure and cyber teams to ensure data is secure in transit and at rest. Clean, prepare and optimize datasets for performance, ensuring lineage and quality controls are applied throughout the data integration cycle. Support Business Intelligence Analysts in modelling data for visualization and reporting, using dimensional data modeling and aggregation optimization methods.

Provide production support for issues related to ingestion, data transformation and pipeline performance, data accuracy and integrity. Collaborate with data architect, business analysts, data scientists, data engineers, data analysts, solution architects and data modelers to develop data pipelines to feed our data marketplace. Assist in identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Work with tools in the Microsoft Stack; Azure Data Factory, Azure Data Lake, Azure SOL Databases, Azure Data Warehouse, Azure Synapse Analytics Services, Azure Databricks, Collibra, and Power Bl. Work within the agile SCRUM work management framework in delivery of products and services, including contributing to feature & user story backlog item development, and utilizing related Kanban/SCRUM toolsets. Assist in building data catalog and maintenance of relevant metadata for datasets published for enterprise use.

Develop optimized, performant data pipelines and models at scale using technologies such as Python, Spark and SOL, consuming data sources in XML, CSV, JSON, REST APls, or other formats. Document as-built pipelines and data products within the product description, and utilize source control to ensure a maintainable code-base. Implement orchestration of data pipeline execution to ensure data products meet customer latency expectations, dependencies are managed, and datasets are as up-to-date as possible, with minimal disruption to end-customer use.

Create tooling to help with day to day tasks, and reduce toil via automation wherever possible. Work with Continuous Integration/Continuous Delivery and DevOps pipelines to automate infrastructure, code delivery and product enhancement isolation and proper release management and versioning. Monitor the ongoing operation of in-production solutions, assist in troubleshooting issues, and provide Tier 2 support for datasets produced by the team, on an as-required basis.

Implement and manage appropriate access to data products via role-based access control. Write and perform automated unit and regression testing for data product builds, assist with user acceptance testing and system integration testing as required, and assist in design of relevant test cases. Participate in peer code review sessions, and approve non-production pull requests.

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