Data Scientist / Data Analytics Specialist
- Toronto, ON, Canada
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- Posting language
- English
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Original job description
Key Responsibilities
- Lead the development and delivery of advanced analytics and business intelligence solutions to support data-driven decision-making.
- Design, develop, train, test, and deploy predictive models, classification algorithms, and machine learning solutions.
- Extract, clean, transform, and analyze large structured and unstructured datasets from multiple sources.
- Develop statistical models, data pipelines, and scalable analytics solutions.
- Collaborate with Data Architects, ETL Developers, business teams, and stakeholders to gather requirements and deliver actionable insights.
- Develop and integrate custom Web APIs and cloud-based applications.
- Build dashboards, reports, and data visualizations to communicate analytical findings.
- Support solution documentation, testing, deployment, and end-user training.
- Participate in Agile development, DevOps practices, and continuous improvement initiatives.
- Strong proficiency in SQL, programming, data manipulation, and querying large relational databases.
- Minimum 5 years of experience working with cloud environments such as Azure or AWS.
- Minimum 5 years of experience with big data frameworks and large-scale data processing.
- Hands-on experience developing and deploying machine learning models, predictive algorithms, and classification models.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Strong experience with ASP.NET, .NET Core, Entity Framework, custom Web API development, and Azure SQL.
- Experience with Azure DevOps, CI/CD pipelines, and cloud application development.
- Understanding of SaaS, PaaS, and IaaS cloud service models.
- Experience working in Agile environments using Kanban or task management boards.
- Strong knowledge of statistical analysis, data modelling, ETL processes, and business intelligence.
- Excellent communication, analytical, documentation, and stakeholder management skills.
- Experience working on large-scale government or public-sector applications.
- Knowledge of Python, R, SAS, SPSS, MATLAB, or similar analytical tools.
- Experience with Microsoft Excel, PowerPivot, Access, or VBA.
- Familiarity with natural language processing (NLP), data mining, and advanced statistical techniques.
More about this job
Responsibilities
Lead the development and delivery of analytics, business intelligence, and machine learning solutions, including predictive models, data pipelines, and scalable cloud applications. Analyze large datasets, collaborate with technical and business stakeholders, build dashboards and visualizations, and support testing, deployment, documentation, and user training.
Requirements
Requires at least five years of experience with cloud environments and big data frameworks, along with hands-on machine learning model development and strong SQL and data analytics skills. Candidates should also have experience with .NET and Azure technologies, CI/CD, Agile practices, statistical analysis, ETL, and business intelligence; experience in government projects and familiarity with analytical tools are preferred.
Skills
- Data Analytics
- Machine Learning
- SQL
- Cloud Computing
- Big Data Processing
- Predictive Modeling
- Deep Learning
- Python
- ASP.NET
- .NET Core
- Entity Framework
- Web API Development
- Azure DevOps
- ETL
- Business Intelligence
- Statistical Analysis
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Government & Public Sector
- Science & Research
Keywords
- Data Science
- Data Analytics
- Machine Learning
- Predictive Models
- Classification Algorithms
- Deep Learning
- TensorFlow
- PyTorch
- SQL
- Azure
- AWS
- Big Data
- ASP.NET
- .NET Core
- Entity Framework
- Azure SQL
- Web APIs
- Azure DevOps
- CI/CD
- Cloud Applications
- SaaS
- PaaS
- IaaS
- ETL
- Business Intelligence
- Python
- R
- SAS
- SPSS
- Agile