RQ11753 - Data Analytical Specialist/Scientist - Senior
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Responsibilities:
- Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights
- Work closely with client’s groups to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvement
- Facilitate decision-making and manage client expectations
- Own the execution of analytics initiatives including end-to-end reporting and data set delivery
- Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences
- Participate in documentation, development, testing, and end user training
- Work with functional area experts, Data Architects and ETL Developers and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutions
- Design methods to capture, structure, transform, and process data to be used to generate models
- Build data models that provide information which is accurate, easy to understand and unbiased
- Communicate complex quantitative analysis in a clear and precise manner, providing useful visuals and summaries
- Provide interpretation, advice, and expertise to client groups and other stakeholders, including direction on how to transform analytics into actionable information and proactive insights that support decision making
REQUIREMENTS-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
More about this job
Responsibilities
Lead analytics initiatives from requirements gathering through reporting and data delivery, developing statistical models and machine learning solutions to support evidence-based decisions. Collaborate with clients, technical teams, and stakeholders to build reliable data models, communicate findings clearly, and turn analysis into actionable insights.
Requirements
Requires more than five years of experience with cloud environments and big data frameworks, along with strong SQL and data preparation skills. Candidates should have experience deploying predictive and deep learning models and developing web APIs and .NET solutions, as well as familiarity with cloud service models, DevOps, CI/CD, and Agile methods.
Skills
- Data Analytics
- SQL
- Data Manipulation
- Data Cleaning and Transformation
- Cloud Computing
- Azure
- AWS
- Big Data Frameworks
- Predictive Modeling
- Machine Learning
- Deep Learning
- TensorFlow
- PyTorch
- ASP.NET
- .NET Core
- Azure SQL
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Consulting
- Government & Public Sector
Keywords
- Data Analytics
- Business Intelligence
- SQL
- Relational Databases
- Data Cleaning
- Data Transformation
- Unstructured Data
- Azure
- AWS
- Cloud Computing
- Big Data Frameworks
- Statistical Modeling
- Machine Learning
- Predictive Algorithms
- Classification Models
- Deep Learning
- TensorFlow
- PyTorch
- Web API Development
- ASP.NET
- .NET Core
- Entity Framework
- Azure SQL
- DevOps
- CI/CD Pipelines
- SaaS
- PaaS
- IaaS
- Agile
- Kanban