ZipRecruiter

Log In

1

Apprentice Data Scientist Machine Learning Jobs in Ontario

Braze

Data Scientist, AI Deployment

Toronto, ON · Hybrid

CA$125K - CA$188K/yr

WHAT YOU'LL DO Our Data Scientist, AI Deployment team is a group of creative technical experts who design and build end-to-end machine learning solutions that power 1-to-1 personalization for some of ...

Ontario Teachers

Data Scientist

Toronto, ON · On-site +1

Develop and apply machine learning, statistical modelling, and mathematical optimization techniques to support predictive decision-making, scenario analysis, resource allocation, portfolio ...

Braze

Forward-Deployed Data Scientist

Toronto, ON · On-site

CA$125K - CA$188K/yr

Experience: 3-5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing ...

Cogeco

Data Scientist

Burlington, ON · On-site

The Data Scientist applies expertise in artificial intelligence through use of machine learning ... Utilize machine learning techniques to improve customer segmentation, churn prediction, and ...

StackAdapt

Applied Machine Learning Scientist

London, ON · On-site +1

We are searching for a talented Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers ...

Future Secure AI

Evaluate machine learning models for understanding user intent, predicting workflow needs, and ... Scientist, Data Scientist, or Machine Learning Engineer * Bachelor's degree in Computer Science ...

Achievers

Data Scientist

Toronto, ON · On-site

Our Data Scientists are a highly motivated and curious group. They're spearheading Achievers ... In this role, you'll research and develop innovative AI and Machine Learning based approaches to ...

next page

Showing results 1-20

All JobsApprentice Data Scientist Machine Learning JobsApprentice Data Scientist Machine Learning Jobs in Ontario

Apprentice Data Scientist Machine Learning information

What is the difference between Apprentice Data Scientist Machine Learning vs Data Scientist?

AspectApprentice Data Scientist Machine LearningData Scientist
Required CredentialsBasic degree, entry-level certificationsAdvanced degree (Master's or PhD), specialized certifications
Work EnvironmentInternships, training programs, entry-level projectsFull-time roles in various industries, independent project work
Employer & Industry UsageStartups, tech companies, research labsCorporate, finance, healthcare, tech firms
Search & Comparison IntentLearning path, entry-level roles, trainingCareer advancement, expertise, senior roles

In summary, Apprentice Data Scientist Machine Learning roles are entry-level positions focused on learning and skill development, often requiring basic education and certifications. Data Scientists typically hold advanced degrees and have more experience, working independently on complex projects across various industries. The main difference lies in experience level, responsibilities, and career stage.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Ontario? The most popular types of Data Scientist Machine Learning jobs in Ontario are:
What cities in Ontario are hiring for Apprentice Data Scientist Machine Learning jobs? Cities in Ontario with the most Apprentice Data Scientist Machine Learning job openings:
Apprentice Data Scientist Machine Learning jobs near you
Principal Associate Data Scientist, Machine Learning

Principal Associate Data Scientist, Machine Learning

Capital One

Toronto, ON • On-site

$90 - $120/hr

Other

Re-posted 13 days ago

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

76th of 149 rated banks

Job description

Principal Associate Data Scientist, Machine Learning

Toronto, Canada.

Overview

As a Machine Learning Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions of customer transactions to build cutting‑edge models and unlock big opportunities that help everyday people save money, time, and improve their financial lives.

Responsibilities
  • Write software to extract, clean, and investigate large, messy data sets of numerical and textual data.
  • Build, deploy, and maintain machine learning models (Gradient Boosting Machines, Neural Networks, etc.) from development, validation, through to deployment in production.
  • Develop and optimise model development pipelines that enable rapid experimentation and optimisation.
  • Design and analyse experiments to optimise business strategies.
  • Investigate the impact of new technologies, data sources, and methodologies to remain on the cutting edge of data science.
Ideal Candidate
  • Curious: asks why, explores, and shares disruptive ideas.
  • Python proficient, constantly exploring new open‑source tools.
  • Wrangler: extracts data from various databases and APIs, transforms it, and leverages it to improve model accuracy.
  • Creative: comfortable solving big, undefined problems with petabytes of data.
  • Proactive: shares knowledge with peers and contributes to open‑source projects.
  • Expert: deep expertise in model development, deployment, or inference.
  • Emerging Leader: comfortable running point on large, complex projects and communicating recommendations to both technical and non‑technical audiences.
Basic Qualifications
  • At least 3 years of experience in open‑source programming languages for modelling (Python or R).
  • At least 3 years of experience with version control systems like GitHub.
  • At least 3 years of experience with machine learning or predictive modelling (H2O, XGBoost, TensorFlow, etc.).
  • At least 3 years of experience with SQL.
Preferred Qualifications
  • Bachelor’s Degree in a quantitative field or Master’s Degree or PhD.
  • Experience working with AWS (EC2, S3, Lambda, RDS, etc.).
  • Experience working with advanced Git workflows (Pull Requests, Code Reviews, Issues, Branching).
  • Experience writing unit tests and integrating with CI/CD tools (Jenkins, CircleCI, etc.).
  • Experience with experimental design and AI agent power user.
  • At least 5 years’ experience in Python or R.
  • At least 5 years’ experience in machine learning / predictive modelling (H2O, XGBoost, TensorFlow, etc.).
  • At least 5 years’ experience with SQL.
  • Experience with financial data.
Benefits
  • Hybrid work environment, 3 days in the office.
  • One‑time Work From Home allowance.
  • Full coverage for spouses, domestic partners, and dependents.
  • Up to $3,000 in mental health coverage and up to $5,000 in tuition subsidies per year.
EEO Statement

Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

#J-18808-Ljbffr

What Capital One employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply