Senior Data Scientist
- Toronto, ON, Canada
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Job details
- Job type
- Contract
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- Posting language
- English
- Posted
Original job description
Data Analytics Specialist/Scientist- RQ11753 (CANADA) - Onsite
About the role:
CCI is hiring a Software Data Analytics Specialist/Scientist to Lead the end-to-end development and delivery of ministry-specific Business Intelligence and analytics solutions, collaborating with stakeholders, Data Architects, and ETL Developers to assess reporting capabilities, gather requirements, develop data models, statistical models, and machine learning algorithms. Manage analytics initiatives, including data transformation, reporting, testing, and end-user training, while translating complex quantitative findings into clear visualizations, actionable insights, and strategic recommendations to support evidence-based decision-making.
Must Have:
Proficiency in coding and data manipulation, alongside SQL for querying and managing large relational databases.
Ability to source, clean, transform, and structure messy or unstructured datasets from multiple channels.
+5 years experience with cloud environments (Azure, AWS)
+5 years experience with big data frameworks
Experience training, testing, and deploying predictive algorithms, classification models, and deep learning frameworks (such as TensorFlow or PyTorch).
Experience with custom .Web API development, ASP.NET. .Net Core, Entity Framework, Azure SQL, DevOps, CI/CD Pipelines etc.
Proficiency in all cloud service models: SaaS, PaaS, and IaaS
Experience with Agile methodologies including using kanban/task boards
How to apply?
For rate purposes please directly send your resume to hire@cci-worldwide.com with "(RQ11753 - Data Analytical Specialist/Scientist - Senior)" in the subject line. Your resume must clearly show how you meet each mandatory requirement. Candidates must be able to work Onsite 5 times a day in Toronto. Applications are reviewed immediately.
More about this job
Responsibilities
Lead the end-to-end development and delivery of ministry-specific business intelligence and analytics solutions, working with stakeholders, data architects, and ETL developers to assess reporting needs and build data and analytical models. Manage analytics initiatives from data transformation and testing through reporting and end-user training, and communicate findings through visualizations, insights, and strategic recommendations.
Requirements
Requires more than five years of experience with cloud environments and big data frameworks, along with strong coding, data manipulation, and SQL skills. Candidates should have experience preparing complex datasets, training and deploying predictive and deep learning models, developing .NET and web API solutions, using cloud service models, and working with Agile methods.
Skills
- Data Analytics
- Business Intelligence
- SQL
- Data Manipulation
- Data Cleaning and Transformation
- Cloud Computing
- Big Data Frameworks
- Statistical Modeling
- Machine Learning
- Predictive Modeling
- Classification Models
- Deep Learning
- ASP.NET
- .NET Core
- Azure SQL
- Agile Methodologies
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Science & Research
- Consulting
Keywords
- Data Analytics
- Business Intelligence
- SQL
- Relational Databases
- Data Cleaning
- Data Transformation
- Data Modeling
- Statistical Modeling
- Machine Learning
- Predictive Algorithms
- Classification Models
- Deep Learning
- TensorFlow
- PyTorch
- Azure
- AWS
- Big Data Frameworks
- Web API Development
- ASP.NET
- .NET Core
- Entity Framework
- Azure SQL
- DevOps
- CI/CD Pipelines
- SaaS
- PaaS
- IaaS
- Agile
- Kanban
- ETL