Data Scientist
- Toronto, ON, Canada
$70 to $75 CAD / hour · Contract
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Job details
- Pay
- $70 to $75 CAD / hour
- Job type
- Contract
- Apply by
- Posting language
- English
- Posted
Original job description
Senior Data Scientist – SAS to Python Migration
Location: Toronto, ON
Duration: 6 Months
Job Role: We are seeking a Senior Data Scientist to lead the migration of critical SAS applications to a modern Python ecosystem, supporting IFRS9, credit risk, reporting, and analytics. The role will focus on code conversion, parallel validation, data lineage, regulatory compliance, and knowledge transfer.
Key Responsibilities
- Convert SAS code to Python, ensuring functional equivalence, accuracy, and maintainability.
- Perform parallel SAS/Python testing to validate identical outputs and mitigate migration risks.
- Apply data mining and statistical modeling techniques to IFRS9 and risk datasets.
- Develop data dictionaries and end-to-end data lineage documentation.
- Support regulatory, audit, and enterprise governance requirements.
- Provide training and knowledge transfer to permanent teams.
Must-Have Skills
- Advanced SAS and Python with proven SAS-to-Python migration experience.
- Strong IFRS9 modeling and credit risk analytics knowledge.
- Data profiling, validation, QA, parallel testing, and reconciliation.
- Data lineage and data dictionary development.
- Strong documentation, communication, and delivery skills.
- Post-conversion support and maintenance experience.
"We use AI in our Hiring Process"
Mindlance is an equal opportunity employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process.
More about this job
Responsibilities
Lead the migration of critical SAS applications to Python, including code conversion and parallel testing to verify equivalent outputs and reduce risk. Apply statistical and data-mining methods to IFRS 9 and credit-risk datasets, document data lineage, support regulatory and governance needs, and transfer knowledge to permanent teams.
Requirements
Requires advanced SAS and Python skills with proven experience migrating SAS code to Python, along with strong IFRS 9 modeling and credit-risk analytics knowledge. Candidates should also have experience in data profiling, validation, quality assurance, parallel testing, reconciliation, lineage and data-dictionary documentation, and post-conversion support.
Skills
- SAS
- Python
- SAS-to-Python Migration
- IFRS 9 Modeling
- Credit Risk Analytics
- Data Mining
- Statistical Modeling
- Data Profiling
- Data Validation
- Quality Assurance
- Parallel Testing
- Reconciliation
- Data Lineage
- Data Dictionary Development
- Regulatory Compliance
- Documentation
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Finance & Accounting
- Science & Research
Keywords
- SAS
- Python
- SAS-to-Python Migration
- IFRS 9
- Credit Risk
- Data Mining
- Statistical Modeling
- Code Conversion
- Parallel Testing
- Functional Equivalence
- Data Profiling
- Data Validation
- Quality Assurance
- Reconciliation
- Data Lineage
- Data Dictionary
- Regulatory Compliance
- Audit
- Enterprise Governance
- Risk Datasets
- Reporting
- Analytics
- Knowledge Transfer
- Post-Conversion Support
- Application Maintenance