Developer jobs in Canada
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Twilio
Senior Software Developer
Firstbase
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Elits Canada Inc.
Senior Software Developer (Greater Vancouver Area)
WISI
Senior Fullstack Developer, AI Centre of Excellence
Ernst & Young Advisory Services Sdn Bhd
Administrative Assistant | Front Office Reception
Forum Asset Management
Full Stack Developer Co-op
Flexspring
Assistant Project Manager - High-Rise - East GTA
Michael Page International (Canada)
Senior Product Developer - Hardgoods
Arc'teryx Equipment
Int. Data Science Developer
Job summary
A leading tech firm in Toronto is seeking an Intermediate Data Science Developer to analyze systems requirements and implement cloud-based data products. The role demands 2-5 years of experience in data science or analytics and proficiency in Python, SQL, and visualization tools. The candidate will work hybrid until October 2025, transitioning to full onsite by January 2026, and will collaborate with IT among other responsibilities.
Qualifications
- 2-5 years of experience in data science, analytics, or related field.
- Proven experience in data analysis, visualization, and statistical modeling.
- Ability to clean, transform, and manage large datasets using Python, R, or SQL.
Responsibilities
- Participate in product teams to analyze systems requirements.
- Design, create, and maintain cloud-based data lake and lakehouse structures.
- Conduct reviews, resolve operational problems, and support business partners.
Skills
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
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)
- Experience working with big data frameworks such as Apache Spark Hadoop for large-scale data processing.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.