RQ09863 - Int. Data Science Developer
Toronto (222 Jarvis or 159 Sir William Hearst) - Hybrid:
- From October 20 2025 the candidate is required to work onsite 4 days a week and 1 day from home
- From January 5 2026 the candidate is required to work onsite 5 days a week fully
Contract 5 months possible extension
Participate in product teams to analyze systems requirements architect design code and implement cloud-based data and analytics products that conform to standards. Design create and maintain cloud-based data lake and lakehouse structures automated data pipelines analytics models and visualizations (dashboards and reports). Liaises with cluster IT colleagues to implement products conduct reviews resolve operational problems and support business partners in effective use of cloud-based data and analytics products. Analyses complex technical issues identifies alternatives and recommends solutions. Prepare and conduct knowledge transfer
Must Have:
- 2-5 years of professional experience in data science data analytics or a related quantitative field (e.g. data engineering machine learning or business intelligence) or equivalent.
- Proven experience in data analysis visualization and statistical modeling for real-world business or research problems.
- Demonstrated ability to clean transform and manage large datasets using Python R or SQL.
- Python (pandas NumPy scikit-learn statsmodels matplotlib seaborn)
- SQL (complex queries joins aggregations optimization)
- Data preprocessing (feature engineering missing data handling outlier detection)
- Experience working with big data frameworks such as Apache Spark and Hadoop for large-scale data processing.
RQ09863 - Int. Data Science Developer Toronto (222 Jarvis or 159 Sir William Hearst) - Hybrid: - From October 20 2025 the candidate is required to work onsite 4 days a week and 1 day from home - From January 5 2026 the candidate is required to work onsite 5 days a week fully Contract 5 months possib...
RQ09863 - Int. Data Science Developer
Toronto (222 Jarvis or 159 Sir William Hearst) - Hybrid:
- From October 20 2025 the candidate is required to work onsite 4 days a week and 1 day from home
- From January 5 2026 the candidate is required to work onsite 5 days a week fully
Contract 5 months possible extension
Participate in product teams to analyze systems requirements architect design code and implement cloud-based data and analytics products that conform to standards. Design create and maintain cloud-based data lake and lakehouse structures automated data pipelines analytics models and visualizations (dashboards and reports). Liaises with cluster IT colleagues to implement products conduct reviews resolve operational problems and support business partners in effective use of cloud-based data and analytics products. Analyses complex technical issues identifies alternatives and recommends solutions. Prepare and conduct knowledge transfer
Must Have:
- 2-5 years of professional experience in data science data analytics or a related quantitative field (e.g. data engineering machine learning or business intelligence) or equivalent.
- Proven experience in data analysis visualization and statistical modeling for real-world business or research problems.
- Demonstrated ability to clean transform and manage large datasets using Python R or SQL.
- Python (pandas NumPy scikit-learn statsmodels matplotlib seaborn)
- SQL (complex queries joins aggregations optimization)
- Data preprocessing (feature engineering missing data handling outlier detection)
- Experience working with big data frameworks such as Apache Spark and Hadoop for large-scale data processing.
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