The Data Science Developer will participate in product teams to analyze system requirements, architect, design, code, and implement cloud-based data and analytics products. This role involves designing, creating, and maintaining cloud-based data lake and lakehouse structures, automated data pipelines, analytics models, and visualizations. The developer will also liaise with IT colleagues, resolve operational problems, and support business partners.
Location:Ontario, Canada
Responsibilities:
- Participate in product teams to analyze systems requirements.
- Architect, design, code, and implement cloud-based data and analytics products.
- Design, create, and maintain cloud-based data lake and lakehouse structures.
- Develop automated data pipelines, analytics models, and visualizations (dashboards and reports).
- Liaise with IT colleagues to implement products and conduct reviews.
- Resolve operational problems and support business partners.
- Analyze complex technical issues and recommend solutions.
- Prepare and conduct knowledge transfer.
Required Skills & Certifications:
- 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.
- Experience in multiple cloud-based data and analytics platforms and coding/programming/scripting tools.
- Experience with designing, creating, and maintaining cloud-based data lake and lakehouse structures, automated data pipelines, analytics models, and visualizations.
- 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.
- Strong communication skills; both written and verbal.
- Excellent interpersonal relations and demonstrated ability to work with others effectively in teams.
- Proven analytical skills and systematic problem-solving.
Preferred Skills & Certifications:
Special Considerations:
Scheduling:
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