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3,784

Python jobs in Canada

Manager, Data & AI Science

Manager, Data & AI Science
Benevity
Toronto
CAD 80,000 - 120,000
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Principal Platform / DevOps Engineer

Principal Platform / DevOps Engineer
Zinkworks
Edmonton
CAD 90,000 - 150,000

Senior Platform / DevOps Engineer

Senior Platform / DevOps Engineer
Zinkworks
Edmonton
CAD 80,000 - 120,000

Lead AWS Infra DevOps Engineer

Lead AWS Infra DevOps Engineer
TEEMA
Toronto
CAD 80,000 - 130,000

Software Developer, Data Tooling

Software Developer, Data Tooling
Robinhood
Toronto
CAD 124,000 - 145,000
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ERP Programmer

ERP Programmer
Marist University
Pickering
USD 75,000 - 85,000

Senior Software Engineer

Senior Software Engineer
Microsoft Corporation
Vancouver
CAD 108,000 - 200,000

Principal DSP Engineer – Coherent Optical Transmission Systems - Acacia

Principal DSP Engineer – Coherent Optical Transmission Systems - Acacia
Cisco Systems, Inc.
Ottawa
Remote
CAD 190,000 - 240,000
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Technical Art Director [Assassin's Creed Project]

Technical Art Director [Assassin's Creed Project]
Ubisoft
Montreal
CAD 80,000 - 120,000

Directrice, Directeur technique graphique [Projet Assassin's Creed]

Directrice, Directeur technique graphique [Projet Assassin's Creed]
Ubisoft
Montreal
CAD 80,000 - 120,000

Senior Data Scientist II

Senior Data Scientist II
Mistplay
Montreal
CAD 60,000 - 100,000

Senior People Data Scientist

Senior People Data Scientist
Instacart
Manitoba
Remote
CAD 158,000 - 175,000

Staff Software Engineer

Staff Software Engineer
Galileo Financial Technologies
Moose Jaw
CAD 80,000 - 110,000

Senior Oracle Database Administrator

Senior Oracle Database Administrator
BGIS
Markham
CAD 80,000 - 120,000

IP Validation Engineer

IP Validation Engineer
The Six Semiconductor
Ontario
CAD 60,000 - 95,000

Technical Manager - Automotive and Industrial

Technical Manager - Automotive and Industrial
Canonical
Moncton
USD 90,000 - 150,000

Principal Engineer Platform Team

Principal Engineer Platform Team
Autodesk
Ontario
USD 141,000 - 229,000

Développeur logiciel senior (Sr. Software Developer)

Développeur logiciel senior (Sr. Software Developer)
Intrado Life & Safety, Inc.
Montreal
CAD 80,000 - 100,000

Wavelogic Modem HW Engineering Co-op (Fall 2025)

Wavelogic Modem HW Engineering Co-op (Fall 2025)
Ciena
Ottawa
CAD 100,000 - 125,000

Information Security Engineer

Information Security Engineer
Verra Mobility
Toronto
CAD 70,000 - 110,000

Analyst, Financial Risk - Financial Engineering & Modeling

Analyst, Financial Risk - Financial Engineering & Modeling
Deloitte Canada
Toronto
CAD 62,000 - 92,000

Turbine Mechanical Calculation Engineer

Turbine Mechanical Calculation Engineer
Andritz
Pointe-Claire
CAD 70,000 - 110,000

Senior Supply Chain Digital Transformation Specialist

Senior Supply Chain Digital Transformation Specialist
Geotab
Oakville
CAD 80,000 - 120,000

Senior AI Engineer

Senior AI Engineer
Arobas Personnel
Toronto
CAD 80,000 - 130,000

Solution Architect

Solution Architect
BCAA
Eastern Ontario
CAD 100,000 - 134,000

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Manager, Data & AI Science

Benevity
Toronto
CAD 80,000 - 120,000
Job description

Meet Benevity

Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more!

We’re seeking a strategic and collaborative Manager of Data and ML/AI Science to lead a high-impact team of data scientists, analysts, and data modelers for our B2B SaaS Enterprise Impact platform. In this role, you’ll be responsible for delivering AI-powered insights, models, and data products—while also championing strong data ownership and governance across our systems.

The ideal candidate combines deep expertise in data science and machine learning, a strong foundation in data modeling and analytics, and experience leading cross-functional teams in a product-driven SaaS environment.

What you’ll do:

Team Leadership & Delivery

  • Lead, support, and grow a multidisciplinary team of data scientists, analysts, and data modelers
  • Define and deliver the data and AI science roadmap in alignment with product and business goals
  • Foster a collaborative, inclusive team culture grounded in experimentation, continuous learning, and responsible AI practices
  • Partner with product, engineering, and client-facing teams to build intelligent features, recommendations, automation, and analytics

Data Science & AI Delivery

  • Oversee the design and deployment of models for classification, natural language processing (NLP), and forecasting
  • Ensure models are production-ready, explainable, fair, and continuously monitored for accuracy and drift
  • Establish modular, reusable frameworks to support scalable and efficient model development
  • Guide experimentation and A/B testing to validate insights and improve platform performance

Data Modeling & Analytics

  • Lead the design of structured, domain-specific data products to support AI, analytics, and BI use cases
  • Own key data definitions, taxonomies, and lineage, ensuring clarity and consistency across teams
  • Promote best practices in dimensional modeling and feature engineering

Data & AI Governance

  • Act as a data owner for key domains, driving data quality, consistency, and compliance organization-wide
  • Implement governance practices including data cataloging, metadata management, and policy adherence
  • Collaborate with security and compliance teams to uphold privacy standards (e.g., SOC 2, GDPR, PIPEDA)
  • Define and maintain governance standards for AI systems, including documentation, reproducibility, and traceability

What you’ll bring:

  • 5+ years of experience in data science or analytics, including 3+ years leading technical teams
  • A track record of delivering impactful AI/ML solutions in SaaS or product-led environments
  • Solid understanding of data governance, data modeling, and domain ownership
  • Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical teams
  • A degree in Computer Science, Data Science, Statistics, or a related field

Technical Skills & Expertise:

  • Languages & Tools: Python, SQL, R, Jupyter, Git
  • ML/AI: Scikit-learn, XGBoost, TensorFlow, PyTorch, MLflow
  • Data Modeling & Analytics: BigQuery, Snowflake, DBT, Redshift, Looker, Power BI
  • ML Ops & Pipelines: Airflow, SageMaker, Vertex AI, Databricks, Feature Stores
  • Governance Tools: Collibra, Monte Carlo, Datafold, Alation, Informatica (preferred)
  • Strong understanding of SaaS metrics, experimentation frameworks, and B2B platform data structures

Discover your purpose at work

We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more …

Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose.

If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become …

It’s time to join Benevity. We’re so excited to meet you.

Where we work

At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most.

Join a company where DEIB isn’t a buzzword

Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams.

We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine.

That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity.

Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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