Job Title: Data Analytical Specialist/Scientist - Senior

Location: Toronto, Ontario, Canada

Work Model: Onsite

Duration: 11 months

Extension: 1 Time

Must Haves

- 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

Description / Responsibilities / Skills

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

General Skills

- Excellent analytical, problem-solving and decision-making skills, verbal and written communication skills, interpersonal skills and team work skills
- Outstanding consulting and relationship management skills, with proven ability to elicit requirements, develop/consult on options and solutions, and provide effective guidance
- Adept at communicating to both technical and non-technical audiences
- Experience designing high quality interfaces to present information in a meaningful way to end users
- Broad understanding of data management, financial and business analysis, database architecture, and information visualization
- Experience with analytical software such as R, PowerPivot, Matlab, SPSS, or SAS an asset

Deliverables

- Own the execution of analytics initiatives including end-to-end reporting and data set delivery
- Communicate complex quantitative analysis in a clear and precise manner, providing useful visuals and summaries

Experience & Skill Set Requirements

Experience (40%)

- Experience with large government applications
- Experience with cloud platforms such as Azure

Communication Skills (20%)

- Solid communication skills to prepare documentation, including but not limited to; reports, reviews, assessments
- Ability to present ideas and suggestions clearly and effectively and in a user friendly manner; maintain a high level of customer service to both internal and external clients
- Ability to communicate designs and development in clear and understandable manner

📌 Data Analytical Specialist/Scientist - Senior (Toronto)
🏢 Innosystech
📍 Toronto