Data Scientist
- Toronto, ON, Canada
- Greater Toronto Area, Canada, Canada
Contract
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Job details
- Job type
- Contract
- Apply by
- Work location
- This is a 12 month contract located in Toronto, ON/ Hybrid (2-3 days in the office per week)
- Experience
- 5- 8 years of experience and advanced expertise in AI and machine learning, data engineering to develop solutions within the Corporate Functions Analytics team.
- Posting language
- English
- Posted
Original job description
TekStaff's Client has a current vacancy for a Data Scientist
This is a 12 month contract located in Toronto, ON/ Hybrid (2-3 days in the office per week)
Must-have requirements:
- 5- 8 years of experience and advanced expertise in AI and machine learning, data engineering to develop solutions within the Corporate Functions Analytics team.
- A relevant STEM degree is required, along with experience in statistical analysis, machine learning, and predictive modeling (cross-sell, upsell, attrition).
- Strong programming skills (Python, Spark, R, SQL), experience with Cloud environments, and visualization tools like Power BI are expected.
- Applicants are required to manage substantial amounts of both structured and unstructured data, utilize machine learning techniques for strategic development, and preferably possess expertise in operations research methodologies for optimizing strategies.
- Strong collaboration skills, the ability to clearly convey technical information as business value, and proficiency in documentation and presenting findings are essential.
Nice-To-Have Skills:
- Spanish proficiency is an asset
- Managing business stakeholder experience is an asset
- Previous banking experience is an asset
TekStaff may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.
More about this job
Responsibilities
Develop AI, machine learning, and data engineering solutions for the Corporate Functions Analytics team. Analyze structured and unstructured data, apply predictive modeling and machine learning to support strategic development, and communicate findings as business value.
Requirements
Requires 5–8 years of experience, a relevant STEM degree, and advanced expertise in AI, machine learning, data engineering, statistical analysis, and predictive modeling. Candidates should have strong Python, Spark, R, and SQL skills, cloud experience, and visualization experience such as Power BI; Spanish, stakeholder management, and banking experience are assets.
Skills
- Artificial Intelligence
- Machine Learning
- Data Engineering
- Statistical Analysis
- Predictive Modeling
- Python
- Spark
- R
- SQL
- Cloud Environments
- Power BI
- Structured and Unstructured Data Management
- Operations Research
- Stakeholder Collaboration
- Technical Communication
- Documentation and Presentation
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Science & Research
- Finance & Accounting
Keywords
- Artificial Intelligence
- Machine Learning
- Data Engineering
- Corporate Functions Analytics
- Statistical Analysis
- Predictive Modeling
- Cross-Selling
- Upselling
- Attrition
- Python
- Spark
- R
- SQL
- Cloud Environments
- Power BI
- Structured Data
- Unstructured Data
- Operations Research
- Strategy Optimization
- Stakeholder Management
- Banking
- Spanish