IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Oct 12, 2026

Hiring at a glance

View jobs

Open jobs: 2,695
Employers: 1,448

Advertised starting pay

Average starting payCAD / year: $96,764Across 261 listings
Average starting payCAD / hour: $45.60Across 185 listings
Average starting payUSD / year: $117,745Across 48 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 5%134 listings
Hybrid: 38%1,021 listings
On-site: 57%1,529 listings

Not specified: <1% (11 listings)

Employers hiring include TD (45), J&M Group (40), Amazon (35).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

IT & data jobs in Canada

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Added 12 days ago
RB
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
CNB (City National Bank), an RBC company, is modernizing its data architecture as a core part of our digital transformation strategy. We're seeking a Senior Data Engineer to architect and…
Added 12 days ago
G
Analyste principal de données / Senior Data Analyst - CX
Genetec
Montreal, QC
- Full-time
Added 12 days ago
R
Senior Data Engineer
RBC
Vancouver, BC
- Full-time
CNB (City National Bank), an RBC company, is modernizing its data architecture as a core part of our digital transformation strategy. We're seeking a Senior Data Engineer to architect and…
Added 12 days ago
NS
Data Analyst
Nova Scotia Power
Halifax, NS
- Full-time
Are you passionate about transforming data into meaningful insights that drive business decisions? As a Data Analyst on the Data Insights & Analytics team within Customer & Grid…
Added 12 days ago
B
Data Engineer
BMO
Toronto, ON · SCC
- Full-time
Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely actionable insights…
Added 12 days ago
GI
Senior Network Security Analyst
GuestTek Interactive Entertainment Ltd.
Calgary, AB
- Full-time
Added 12 days ago
H
System Administrator
Hexagon
Calgary, AB
- Full-time
Added 12 days ago
C
Quantitative Analyst/Senior Quantitative Analyst
CIBC
Toronto, ON
- Full-time
Added 12 days ago
Data Scientist
Stripe
Toronto, ON
Added 12 days ago
FC
HSE System Administrator
FLINT Corp.
Sherwood Park, AB
- Full-time
Added 12 days ago
ND
Business Systems Analyst (Pricing & Promotions)
Ness Digital Engineering
Toronto, ON
- Contract
…partner, we help engineer your company’s future with cloud and data. For more information, visit…
Added 13 days ago
Security Operations Analyst
F12.net
Markham, ON · Surrey, BC · Edmonton, AB
Added 13 days ago
JG
Business Analyst and Data Analyst
J&M Group
Toronto, ON
- Contract
We are hiring for a Business Analyst and Data Analyst. This role focuses on business analysis, data analytics, Power BI dashboard development, SQL, and regulatory compliance reporting.
Added 13 days ago
RB
Senior Data Scientist, Fraud Applied AI and Innovation
Royal Bank of Canada
Toronto, ON
- Full-time
Added 13 days ago
C
Senior Data Engineer - Zonda - Toronto, Ontario
CoStar
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
Added 13 days ago
SA
Senior Data Engineer
Style Analytics
Montreal, QC
- Full-time
At Confluence, we’ve always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our…
Added 13 days ago
NB
Lead Data Engineer
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior Developer in Data Engineering on the Financial crime and regulatory projects team at National Bank means serving as a Data Analytics Specialist. This position allows…
Added 13 days ago
CS
Application Security Engineer
Cybage Software
Canada
- Contract
…focused on modern technologies, and are enabled by a scientific, data-driven system called the Excel Shore Model of Operational…
Added 13 days ago
WT
IT Support Technician (Microsoft Solutions Specialist)
Webhorse Technologies
Inuvik, NT
- Full-time
Added 13 days ago
C
Sr. Business System Analyst (AML & Payments)
CGI
Toronto, ON
- Full-time
…background within the banking or financial services domain, strong data analytical skills, and experience supporting regulatory…
Added 13 days ago
SM
Database Administrator
Summerhill Market
Toronto, ON
- Full-time
Summerhill Market is looking for a detail-oriented, tech-savvy, and curious Data Coordinator to join our IT & Data team. This is an entry-level opportunity for someone interested in…
Added 13 days ago
Senior Business Systems Analyst - Guidewire (Policy Center)
CAA Club Group
Thornhill, ON
Added 13 days ago
R
Senior Data Scientist, Fraud Applied AI and Innovation
RBC
Toronto, ON
- Full-time
Added 13 days ago
OF
cybersecurity consultant
OIC Foods Inc.
Mississauga, ON
- Full-time
Added 13 days ago
DS
Analyste de données / Data Analyst
Data Sciences
Montreal, QC
- Full-time
Fondée en 2015, Data Sciences (DS) n'est pas une agence comme les autres. Nous sommes un groupe d’experts de pointe en analyse de données, en recherche, en marketing numérique et en…

OpusClip

Data Scientist

Burnaby, BC, Canada

$85,000 to $115,000 USD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $85,000 to $115,000 USD / year
Job type: Full-time
Experience: Typically 3+ years of experience in data science, product analytics, decision science, or a closely related field - or equivalent experience owning work at this level.
Posting language: English
Posted: Sep 24, 2026

Original job description

🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.

We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence.

We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more.

Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024.

Headquartered in Mountain View, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values:

Be a Champion Team
Prioritize Ruthlessly
Ship fast, Quality Follows
Obsess over customers

Be a part of this exciting journey with us!

About the Role

OpusClip is looking for a product-oriented Data Scientist to help us build trusted metrics, improve data quality, and turn complex product and customer data into clear business decisions.

In this role, you will own critical definitions across feature adoption, weekly active usage, credit consumption, user segmentation, retention, and lifetime value. You will validate reporting data against its source, investigate data-quality issues, and lead analyses that help Product, Finance, and AI teams understand what is working, what is not, and where we should invest next.

This is a hands-on role for someone who is equally comfortable writing SQL, investigating unexpected data, defining metrics with stakeholders, and communicating a clear recommendation.

What You’ll Do

Strengthen data quality and metric governance

Validate reporting tables and dashboards against their source data.
Establish clear definitions, assumptions, sources, and owners for important metrics.
Develop monitoring for duplicate events, unexpected volume spikes, null values, stale data, and reporting discrepancies.
Investigate tracking and data-quality issues across product events and downstream reporting tables.
Help teams distinguish genuine changes in user behavior from instrumentation or pipeline problems.

Lead product and business analysis

Conduct post-launch analyses for major product features and workflows.
Analyze adoption, activation, funnels, retention, segmentation, and user behavior.
Translate ambiguous business questions into structured analytical plans.
Turn findings into actionable recommendations for product and business stakeholders.
Support our data analyst with complex or high-priority analytical requests.

Support retention, LTV, and Finance analytics

Analyze subscriber retention, monetization, and customer lifetime value.
Compare user and revenue behavior across plans, segments, and payment platforms.
Partner with Finance to validate reporting logic and investigate discrepancies.
Communicate assumptions and data limitations clearly when working with financial and payment-related data.

Partner with our AI teams

Support data curation, measurement design, and evaluation for AI-powered product experiences.
Define offline and online success metrics for model-driven features.
Analyze model quality, user behavior, and post-launch business impact.
Partner on experimentation, segmentation, and ongoing performance monitoring.

What We’re Looking For

Typically 3+ years of experience in data science, product analytics, decision science, or a closely related field - or equivalent experience owning work at this level.
Advanced SQL skills, including complex joins, window functions, event-level analysis, cohort analysis, and query debugging.
Strong Python skills for analysis, automation, validation, and statistical work.
Experience analyzing product usage, feature adoption, funnels, retention, segmentation, or monetization.
Experience defining and governing metrics, rather than only using existing definitions.
Strong data-validation instincts, including checking joins, duplication, nulls, freshness, source consistency, and tracking changes.
Experience working with event data from Mixpanel, or a similar product analytics platform.
Experience building or maintaining dashboards using tools such as Superset, Looker, Tableau, or Power BI.
Working knowledge of experimentation, statistical inference, and the limits of causal conclusions.
Strong ownership and the ability to make progress when requirements are ambiguous.
Clear communication skills and experience partnering with both technical and non-technical stakeholders.

Nice to Have

Experience with BigQuery or another cloud data warehouse.
Experience in a product-led SaaS, subscription, consumer software, creator-economy, or AI product company.
Experience analyzing subscription payments, retention, revenue, or LTV.
Familiarity with Stripe, Apple, Google Play, PIX, or other payment-platform data.
Experience with automated data-quality monitoring or anomaly detection.
Experience partnering with ML or AI teams on model evaluation, data curation, or online experiments.
Familiarity with semantic layers, metric stores, or governed self-service analytics.
Exposure to orchestration and transformation tools such as Prefect, Airflow, or dbt.
Awareness of data governance, PII protection, and column-level access controls.
Experience using AI tools to accelerate analytical work while independently validating the output.

What Success Looks Like

Within your first six months, you will have:

Established trusted definitions for our priority product and business metrics.
Restored or improved reporting for feature adoption, WAU, and credit consumption.
Validated critical reporting tables against their source data.
Introduced proactive monitoring for high-impact data-quality issues.
Delivered product analyses that directly informed roadmap, launch, or experimentation decisions.
Improved the reliability and turnaround time of analytical support for Product, Finance, and other teams.
Become a trusted analytical partner who can move from an ambiguous question to a clear, evidence-based recommendation.

Why Join Us

Own metrics and analyses that directly influence product and business decisions.
Work closely with Product, Engineering, Finance, CX, and AI teams.
Help shape the analytical foundation of a fast-growing AI product.
Work with a modern data stack that includes BigQuery, Mixpanel, Superset, Python, Prefect, and Statsig.
Tackle a mix of product analytics, data quality, experimentation, monetization, and AI evaluation.
Grow toward broader ownership in product data science, experimentation, metric governance, or analytical leadership.

If you enjoy finding the truth behind the numbers - and making that truth useful to the people building the product - we’d love to hear from you.

EEO

OpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

Apply About employer

More about this job

Responsibilities

The Data Scientist will own critical metrics, improve data quality, and turn complex product data into actionable business decisions. They will partner with Product, Finance, and AI teams to conduct analyses, validate reporting, and support experimentation.

Requirements

Candidates should have 3+ years of experience in data science or product analytics with advanced SQL and Python skills. Strong experience in data validation, metric governance, and communicating insights to stakeholders is required.

Skills

SQL
Python
Data Science
Product Analytics
Data Quality
Metric Governance
Statistical Inference
Experimentation
Data Visualization
Dashboarding
BigQuery
Mixpanel
Data Validation
Cohort Analysis
Monetization Analysis
Communication

Benefits

Equity
Bonus

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Product Analytics
SQL
Python
BigQuery
Mixpanel
Superset
Looker
Tableau
Power BI
Data Governance
Metric Governance
Experimentation
Statistical Inference
Data Quality
Cohort Analysis
LTV
Retention
Monetization
SaaS
AI
Machine Learning
Data Curation
Anomaly Detection
dbt
Airflow
Prefect
Stripe
PIX
Cloud Data Warehouse

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