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Data Science Associate Jobs in Ontario (NOW HIRING)

BMO Capital Markets

Associate, Data Engineer

Toronto, ON · On-site

CA$90K - CA$120K/yr

You will collaborate with AI engineers and data scientists to deliver high-quality, data-centric solutions that empower business decisions. Our Team The Data Cognition Team (DCT) at BMO Capital ...

U Education Management Pvt. Ltd.

We\- re one of the few applications of AI\/ data science that actually has a massive market and ... Associate\n \n \n \n \n Job function \n \n \n Information Technology\n \n \n \n \n \n \n

Next Generation

Associate Scientist

Dublin, ON · On-site

$45K - $48K/yr

Associate Scientist This position is a support role within the Analytical Method Sciences pillar ... Empower Chromatography Data system master data. The Role: Provide end user support by ...

Walmart

(CAN) Solution Consultant II

Mississauga, ON · On-site

Data engineering or data science exposure is a plus. Leadership Expectations: Respect the Individual: Demonstrates and encourages respect for others; drives a positive associate and customer ...

ShyftLabs

Associate AI Engineer

Toronto, ON · Hybrid

CA$60K - CA$80K/yr

The Opportunity ShyftLabs is looking for an Associate AI Engineer (New Grad) to join our growing ... Bachelor's degree in Computer Science, Software Engineering, Data Science, AI, or a related field

LGC Group

Product Data Lead

Woodbridge, ON · On-site

We innovate and apply science in order to ensure the safety and integrity of products and services ... Support Product Data Associates by clarifying requirements, coaching on workflows, and resolving ...

Apply Early

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All JobsData Science Associate JobsData Science Associate Jobs in Ontario

Data Science Associate information

See Ontario salary details

$10

$45

$98

How much do data science associate jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for data science associate in Ontario is $45.59, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $61.78 per hour, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Ontario? The most popular types of Data Science jobs in Ontario are:
What are popular job titles related to Data Science Associate jobs in Ontario? For Data Science Associate jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Ontario look for? The top searched job categories for Data Science Associate jobs in Ontario are:
What cities in Ontario are hiring for Data Science Associate jobs? Cities in Ontario with the most Data Science Associate job openings:
Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Ontario as of June 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $94,837 per year, or $45.6 per hour.

Data Platform Solution Architect

Quadbridge

Kitchener, ON • On-site

Full-time

Medical, Dental, Life

Posted 5 days ago

Be an early applicant

Job description

Data Platform Solution Architect

Who We Are:
Quadbridge is a fast-growing North American IT solutions provider, empowering businesses to navigate complex challenges daily, through strong partnerships with leading technology providers and close collaboration with our team and customers.
With locations in Kitchener, Montreal and Vancouver, we strive to create an energetic, fun workplace where ambitious, like-minded teammates collaborate, innovate, and thrive as we continue to grow our national footprint.

We are Quadbridge. See how we're building tomorrow's solutions, together.

This Role:

We are seeking a mid‑level Data Platform Solution Architect to join our consulting and professional services team.

This role blends solution architecture, pre‑sales support, and delivery execution, focused on designing and implementing modern data and AI platforms using Microsoft Fabric and Azure Databricks.

The successful candidate will work closely with pre-sales & delivery teams to drive assessment‑led engagements, build scalable data platform & AI design and architectures, and accelerate customer outcomes while enabling downstream services and managed services attach.

Key Responsibilities

Solution Architecture & Design

  • Architect modern Data & AI platforms (Lakehouse/Data Lake) and analytics platforms using:
    • Microsoft Fabric (OneLake, Data Engineering, Data Factory, Data Science, Real‑Time Analytics, Power BI)
    • Azure Databricks (Lakehouse, Delta Lake, Workflows, Unity Catalog)
  • Design secure, scalable, and cost‑optimized Data & AI platform architectures aligned to SMB and mid‑market needs
  • Develop reference architectures and repeatable patterns aligned to Microsoft and Databricks best practices

Pre‑Sales & Assessments

  • Support pre‑sales activities including:
    • Technical discovery sessions
    • Architecture whiteboarding
    • Scoping and estimation support for Statements of Work (SOWs)
  • Lead or contribute to Data & AI platform assessments (Data & AI Readiness, Fabric Readiness, Databricks/Lakehouse Assessments)

Delivery & Technical Leadership

  • Act as technical lead or senior contributor on data platform implementations
  • Provide design oversight and hands‑on guidance for:
    • Data ingestion pipelines
    • Data source integrations
    • Transformations (SQL, PySpark)
    • Semantic models and analytics layers
  • Ensure delivery aligns to scope, timelines, and architectural standards

Governance, Security & Optimization

  • Design data governance, security, and compliance models including:
    • Data access controls
    • Cataloging and lineage
    • Workspace and tenant design
  • Apply FinOps and performance optimization practices to control cloud costs
  • Advise clients on platform lifecycle management and operational readiness

Partner & Practice Enablement

  • Stay current with Microsoft Fabric and Databricks roadmaps and partner best practice guidance
  • Contribute to:
    • Internal accelerators
    • Delivery templates
    • Sales enablement content
  • Support partner motions aligned to Microsoft Solution Partner and Databricks designations
Required Qualifications

Technical Experience

  • 4–6 years of experience in data & AI engineering, analytics, or data platform architecture
  • Hands‑on experience with:
    • Microsoft Fabric or strong Azure Data + Power BI background transitioning to Fabric
    • Strong Copilot/Copilot Studio background
    • Azure Databricks and or Databricks
  • Strong understanding of:
    • Data platform & AI Lakehouse architecture
    • ELT/ETL patterns
    • SQL and PySpark
  • Experience with Azure data services such as:
    • Azure Data Lake Storage
    • Azure Synapse
    • Azure SQL
    • Azure Data Factory

Consulting & VAR Experience

  • Experience in a VAR, systems integrator, or consulting environment

Communication & Collaboration

  • Strong client‑facing consulting and communication skills
  • Ability to translate technical concepts into business value
  • Experience collaborating with sales, delivery, and pre-sales teams

Preferred Certifications

Microsoft (preferred)

  • Microsoft Certified: Fabric Analytics Engineer Associate
  • Microsoft Certified: Azure Data Engineer Associate
  • Microsoft Certified: Azure Solutions Architect Expert (plus)

Databricks

  • Databricks Data Engineer Associate
  • Databricks Data Engineer Professional
  • Databricks Lakehouse Fundamentals

Cloud & Architecture (Nice to Have)

  • Azure Fundamentals (AZ‑900)
  • AI‑900 (Azure AI Fundamentals)
  • FinOps Practitioner (or equivalent cost‑management training)

What Success Looks Like (First 12 Months)

  • Successfully support and deliver multiple Fabric and Databricks engagements
  • Become a trusted technical advisor to sales and clients
  • Drive assessment‑led opportunities into implementation and managed services
  • Contribute to repeatable offerings that improve delivery margin and velocity

Why Quadbridge?

  • Invest in Your Future – Benefit from our RRSP program to help you plan ahead.
  • Grow With Us – Take advantage of ongoing professional training and development opportunities.
  • Comprehensive Coverage – A complete health, dental, life and LTD insurance plan
  • Top-Tier Equipment – We provide everything you need to do your best work.
  • A Vibrant Workplace – Join us for monthly social and team building events.
  • Perks You'll Love – In our Montreal office, enjoy an onsite chef and gym.
  • Stay Connected – Receive a phone allowance to keep you plugged in.
  • Bring Your Best Friend – Our offices are pet-friendly!

Salary range

$160,000 to $185,000 annually, plus bonus based on KPIs

Work Schedule:

Monday to Friday, 8:30 a.m. to 5 p.m.

Permanent, full-time, hybrid or remote

Location:

Montreal (QC) , Kitchener (ON) or Vancouver (BC)

Application Deadline

June 30, 2026

Ce poste est également affiché en français.

Quadbridge is an equal opportunity employer, committed to diversity and inclusion in compliance with the Canadian Human Rights Act and Employment Equity Act. If you require accommodations under the Accessibility for Ontarians with Disabilities Act (AODA) and other applicable Canadian laws during the interview process, please inform us, and we will ensure your needs are met.