Rq09863

RQ 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.