Sr. Data Scientist working with large scale data to perform data visualization, statistical modelling for our mining client

6 months to start

Occasional workshops in the office as need (Downtown Toronto)

1 round of interview

Scope : Our mining client is looking to set up their data and analytics team within Canada. They are looking to take a lead on data platforms and foundations and create unique capabilities for our client

Must haves :

• 7+ years as a data scientist with experience working with Python (pandas, scikit-learn, XGBoost, PyTorch / TensorFlow) and SQL
• ML lifecycle tools (MLflow, DVC, SageMaker) and Advanced statistical modeling (time series, causal inference, A / B testing)
• Large-scale data (Snowflake, BigQuery, Databricks)
• Visualization (Power BI, Tableau, Plotly Dash)
• Exposure to MLOps (CI / CD, model monitoring
• Mining experience highly preferred

Soft skills