On behalf of our client in the Retail Sector, Procom is looking for a Data Scientist. Data Scientist – Job Description
Collect, clean, and transform data from diverse sources to be used for training or evaluation datasets
Develop, validate, and implement predictive models and machine learning algorithms
Familiarize and utilize end-to-end ML product to develop data science models
Perform exploratory data analysis to understand the data and develop hypotheses
Triage and diagnose poor performing models
Propose and implement solutions to meet our model performance metrics
Propose evidence-based strategies to improve existing development and business challenges
Present findings to both technical and non-technical stakeholders
Data Scientist – Mandatory Skills
Master’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, or a related field
4-6 years of experience in data science or a related field
Experience with Python and its primary data science libraries, alongside essential SQL knowledge for database management
Proficiency in building and fine-tuning machine learning models
Robust understanding of various machine learning algorithms and their mathematical foundations
Deep understanding of model confidence measurements and the ability to select appropriate models for specific tasks, including where to utilize one model over the other
Having a deep understanding and knowledge of state-of-the-art transformer models for different tasks
Strong skills in data preprocessing, data exploration, and feature engineering
Data Scientist – Preferred Skills
Experience with sequence classification, named entity recognition, image classification, and object detection models
Proficiency with cloud services, specifically Vertex AI and BigQuery (GCP)
Strong problem-solving skills with an emphasis on product development
Excellent written and verbal communication skills
Experience with regular expressions is an asset
Data Scientist – Assignment Start Date ASAP – 6 months to start Data Scientist – Assignment Location Mississauga, ON – Work Hybrid