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

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ... Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ... Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ... Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ... Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ... Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits

25-053 Data Architect

Pickering, ON · On-site +1

$85 - $100/hr

... remote) Job Overview JOB FUNCTION As a Data Architect you will be responsible for leading the Azure ... scientists, data engineers, data analysts and solution architects to develop data pipelines to feed ...

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ... Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits

Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related ... Remote -Toronto, ON Opening Type: New Role If this resonates with you, we encourage you to apply ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

... remote) Job Overview As an Azure and Databricks Data Engineer, you will be responsible for ... Collaborate with Business Analysts, data scientists, Senior Data Engineers, data Data Analysts and ...

Showing results 41-60

Full Time Remote Data Science information

What is the difference between Full Time Remote Data Science vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ScienceFull Time Remote Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often some programming experienceBachelor's in Data Analysis, Statistics, or related fields; basic analytical skills
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, focused on data interpretation and reporting
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Full Time Remote Data Science roles typically require advanced analytical skills, programming, and statistical knowledge, working on complex models. Full Time Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making. Both roles are remote and industry-specific but differ in technical depth and responsibilities.

Can I work remotely as a full time remote data scientist?

Full-time remote data scientist positions are common in the industry, allowing professionals to work from home or other locations. These roles typically require strong skills in programming, data analysis, and tools like Python or R, and may involve collaboration via online platforms. Many companies offer remote options for qualified candidates, especially in tech-focused or data-driven organizations.

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 Full Time Remote Data Science jobs in Ontario?

For Full Time Remote Data Science jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Full Time Remote Data Science jobs in Ontario look for?

The top searched job categories for Full Time Remote Data Science jobs in Ontario are:

What cities in Ontario are hiring for Full Time Remote Data Science jobs?

Cities in Ontario with the most Full Time Remote Data Science job openings:

25-138 ERP Program Data Migration Lead

Morson Talent

Pickering, ON • On-site, Remote

$80 - $105/hr

Full-time

Re-posted 15 days ago


Job description

Job Description Title: ERP Program Data Migration Lead Resume Due Date: Friday Jan 9th, 2025 (5:00PM EST) Number of Vacancies: 2 Level: MP6, Rate $90- $105/hr INC Duration: 24 Months Hours of work: 40 Location: Temp: 700 University Av Toronto (Hybrid - 2 days remote) Base: Oshawa Job Overview Position Summary The Data Migration Lead is responsible for the planning, governance, and execution of data migration activities across multiple enterprise transformation programs-including, but not limited to, SAP S/4HANA, Asset Suite 9 and ECC initiatives. This senior position calls for technical expertise, strong business process awareness in Finance, SCM, and EAM, and the ability to guide the team in leveraging advanced data governance and integration tools. The successful candidate will ensure that all technology and resource selections align with and enhance OPG's broader data architecture and analytics ecosystem.

Key Responsibilities Shape and deliver the data migration strategy for a variety of enterprise projects (ERP, cloud, analytics, regulatory, and business platform migrations), ensuring early assessment, scope definition, and interdependency mapping. Lead migration efforts across functional domains (Finance, SCM, EAM), using best-in-class solutions for data profiling, lineage, and quality-such as Collibra for governance and Data Lake platforms for scalable data staging and historical archiving. Utilize ERP connectors and integration technologies that enable robust extraction of data and metadata, facilitate migration validation, and support automated reconciliation and data quality checks.

Oversee the use of advanced tooling to compare legacy and target environments, ensuring completeness and accuracy at every migration checkpoint. Collaborate with technology teams to ensure that new data management solutions and resources are selected and deployed in a way that complements existing data lakes, governance frameworks, and analytics platforms. Partner with business data owners and SMEs to establish clear data stewardship, sign-off processes, and ongoing quality monitoring.

Coordinate with infrastructure and security teams to ensure secure, efficient, and compliant data movement across on-premise and cloud environments. Develop and manage dashboards and reports that provide transparency on migration progress, data quality metrics, and readiness for go-live. Work closely with system integrators, legacy system teams, and platform architects to align data migration, cutover, and fallback strategies with OPG's overall enterprise data landscape.

Solution Architecture & Configuration Ensure migration and integration architectures are designed to work seamlessly with OPG's data governance and analytics strategies, including Data Lake environments and Collibra-based governance. Validate that ERP connectors and supporting tools are configured to maximize data extraction, lineage tracking, and auditability across all platforms. Collaborate on the architectural design to ensure scalability, compliance, and best practice alignment for future technology investments.

Qualifications 10+ years of experience in data management, with 5+ years leading data migration for large-scale enterprise transformation projects. Deep understanding of S/4HANA data architecture, SAP MDG, and cross-platform data integration, especially in Finance, SCM, and EAM. Proven experience with industry-leading data governance and migration tools, including Collibra, Data Lake technologies, and ERP integration/connectors.

Expertise in comparing data and metadata across systems, automating migration checks, and ensuring data integrity throughout the migration lifecycle. Strong analytical, leadership, and stakeholder engagement skills. Certifications & Education Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field (advanced degree preferred).

SAP certifications in Data Migration, S/4HANA System Administration, or Master Data Governance. Data governance or management certifications such as COMP (DAMA), Collibra Ranger, or Informatica Certified Professional. Cloud data engineering certifications (e.g., AWS, Azure, or Google Cloud Data Engineer) are highly valued

ETUdata integration certifications (Informatica, Talend, SAP Data Services). Project management or agile certifications (PMP, PRINCE2, Scrum Master, or SAFe) are a plus. Core Competencies Business process expertise in Finance, SCM, and EAM.

Strong grasp of enterprise data governance, lineage, and analytics integration. Skilled in technology selection and solution alignment with broader enterprise data strategies. Proven success in high-stakes, cross-functional delivery environments.