Data Scientist Hybrid Model
Job in
Toronto, Ontario, C6A, Canada
Listed on 2026-06-23
Listing for:
Northbridge Financial
Full Time
position Listed on 2026-06-23
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, Data Scientist, Data Analyst, Data Engineering
Job Description & How to Apply Below
Join Northbridge as a Data Scientist 2 and leverage your statistical expertise in a hybrid work environment. Your analytical skills will drive impactful business decisions.
This role requires 2-4 years of experience in machine learning and applied statistics. As an essential part of the data science team, you will tackle various challenges, from data wrangling to maintaining and optimizing model outputs for stakeholders. Your ability to deploy analytical solutions will significantly impact decision-making.
Key Responsibilities:
• Drive the data science lifecycle from problem identification to model deployment
• Conduct comprehensive data extraction and exploratory analysis
• Develop and evaluate statistical and machine learning models
• Create deployment scripts for batch and real-time processing
• Ensure model performance through consistent maintenance and debugging
Requirements:
• Bachelor's degree in a relevant field
• 2-4 years in data wrangling and feature engineering
• Proficiency in SQL and Python/R is essential
• Solid understanding of operational workflows
• Familiarity with data engineering and MLOps is a plus
Utilize your analytical skills at Northbridge and contribute to impactful solutions.
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