Lead Data Scientist Innovating with Cutting-Edge Machine Learning

Capital One Canada

Toronto, ON

Closed

This position has been closed and is no longer accepting applicants.

Job Details:

Full-time

Experienced

Become a Principal Associate Data Scientist and drive innovations in machine learning and data modeling. Collaborate with a forward-thinking team using advanced technologies to transform customer financial experiences. In this dynamic role, you'll oversee model development and lead experimentation in a creative environment. Ideal candidates have at least 3 years of experience in Python, machine learning, and SQL. Your role will significantly impact data-driven decision-making, optimizing strategies with diverse data sets and tools. Key Responsibilities: • Write software for data extraction and cleaning • Build and deploy machine learning models • Optimize model development pipelines • Design experiments to influence business strategies • Investigate new data technologies and methodologies Requirements: • Minimum 3 years experience in Python or R • Proficient with version control systems like GitHub • Hands-on experience with machine learning frameworks • Strong SQL skills required • Ability to manage complex projects and motivate teams Shape the future of data science with your expertise and creativity in a thriving, innovative environment.

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Frequently Asked Questions

Where is this Principal Associate Data Scientist role located and is it on-site or remote?

This role is based in Toronto, ON, and the description specifies an on-site location in Toronto.

What is the employment type for the Principal Associate Data Scientist position?

The posting lists the role as full-time under Job Type.

What are the minimum experience requirements for this data science role?

The ideal candidate has at least 3 years of experience in Python, machine learning, and SQL, with hands-on experience in ML frameworks and version control like GitHub.

What are the core responsibilities of this Principal Associate Data Scientist position?

Responsibilities include writing software for data extraction and cleaning, building and deploying machine learning models, optimizing model development pipelines, and designing experiments to influence business strategies.

Which technical skills are required for this role?

Proficiency in Python (or R), strong SQL skills, hands-on experience with machine learning frameworks, and experience with version control systems like GitHub are required.

What impact will this role have on the company’s data strategy?

The role involves overseeing model development and leading experimentation to drive data-driven decision-making and optimize strategies with diverse data sets and tools.