Data Scientist 2

Data Scientist 2

What it’s like to be a Northbridge Data Scientist. The Data Science Team is a central partner to the business for Northbridge’s predictive and prescriptive capability using applied statistics, machine learning or artificial intelligence to build business solutions. The primary role of the Data Scientist is to participate in the data science lifecycle to develop and deploy analytical models, tackling a breadth of challenges from wrangling data to finding the optimal model fit, to delivering results to business stakeholders.

Responsibilities

• Participate in the data science lifecycle from understanding the business problem, to data extraction, to model development, to production deployment and change management
• Perform data extraction and wrangling, and conduct exploratory data analysis
• Train and evaluate applied statistics and machine learning models, using open source and cloud-based proprietary software
• Develop deployment scripts for batch and real-time delivery of model output
• Maintain deployed models by running and delivering model output and debugging scripts as needed

Qualifications

• Undergraduate degree in Statistics, Mathematics, Computer Science, or a relevant field
• 2-4 years of professional experience in applied statistics and/or machine learning model development and implementation
• 2-4 years of professional experience in data wrangling and feature engineering, including SQL writing queries to integrate data from multiple sources
• 2+ years of programming experience with SQL and Python/R
• Proficiency in operational procedures, workflow, and processing functions
• Experience in scalable data engineering, software engineering and/or MLOps practices is an asset

Benefits

Hybrid work: 50/50 office and at home, allowing flexible management of both worlds.

Competitive base salary ranging from $84,000 to $126,000, reflected for base pay only. Pay transparency and fairness are committed.

Employee share purchase plan, pension plans, RRSP, discounts on staff insurance and other financial support.

Well-being benefits: flexible health benefits, early leave days, wellness programs, rewards, and recognition programs.

Career growth support: education assistance to complete CIP, FCIP, CRM or other courses, internal mobility, leadership training and mentoring programs.

Community support: donation matching and team volunteer days.

We’re actively hiring for this role. If it sounds like a fit, please apply.

Please let us know how we can assist or accommodate you during the selection process.