Data Scientist
at Infrastructure Ontario
Toronto, ON, Canada -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 25 Jan, 2025 | USD 71300 Annual | 25 Oct, 2024 | N/A | Good communication skills | No | No |
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Description:
Reporting to the Director of Data & Analytics, we are seeking a Data Scientist to source, organize, and prepare complex datasets for building analytical and reporting models that address enterprise business challenges. This role involves designing, building, and maintaining analytical and machine learning models, as well as effectively communicating findings through storytelling and visualization to drive action. Additionally, the Data Scientist will design data integration processes and utilize database systems to ensure the sustainability and usability of models within the organization.
EXACT COMPENSATION WILL VARY BASED ON SKILLS, KNOWLEDGE AND EXPERIENCE
Interviews will be conducted on a rolling basis until the position is filled.
Responsibilities:
- Analyze and coordinate large datasets to extract actionable insights and support data-driven decision-making.
- Structure, cleanse, and process disparate data through innovative ETL methods to ensure data quality and integrity.
- Identify and clarify data requirements, addressing missing values, duplicates, and formatting issues to enhance data usability.
- Design, build, and maintain analytical and machine learning models, establishing clear engagement plans that include problem statements and outcome predictions.
- Apply various analytical techniques (statistical, predictive, descriptive, and classification models) to derive broad conclusions from datasets.
- Create meaningful data visualizations that effectively communicate findings and demonstrate business impact.
- Collaborate with data architecture and quality teams to ensure alignment in data collection and integration processes.
- Manage stakeholders’ requirements and understand their needs Document processes clearly to ensure reusability and consider non-functional requirements like scalability and maintainability in technology exploration.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
Analytics & Business Intelligence
Software Engineering
Graduate
Computer Science, Business, Mathematics, Statistics
Proficient
1
Toronto, ON, Canada