Data Scientist

Role Overview

The data scientist will join a hybrid team in Toronto to support a key machine learning initiative. The role involves using advanced analytical algorithms to mine and analyze large data sets, developing predictive models, and collaborating with other data professionals to optimize and refine analysis.

What You Will Do

The data scientist will use machine learning, deep learning, and artificial intelligence to analyze large data sets, develop predictive models, and provide recommendations to business leaders. They will also investigate new technologies and tools for developing innovative data solutions.

Why It Might Be a Fit

The ideal candidate will have 3+ years of experience in data science, strong programming skills in Python or SAS, and proficiency in SQL and big data technologies. They will also have experience working in cloud-based modeling environments and automating data pipelines.

Requirements

• Typically 3+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
• Strong programming skills in Python or SAS
• Proficiency in both SQL and Big data technologies (Hadoop, Spark)
• Experience working in cloud based modeling environment a plus (ie. AWS Sagemaker, AzureML, etc)
• Experience in automation and scheduling of data pipeline for end-to-end scoring solutions
• Experience developing customer discretionary pricing optimization models is an asset

Benefits

• Health insurance
• Tuition reimbursement
• Accident and life insurance
• Retirement savings plans