Data Scientist – SAS to Python Migration (AIML, AWS)
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Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job Title:
Data Scientist SAS to Python Migration (AI/GenAI AWS)
Location:
Toronto ON (Hybrid 4 Days Work From Office)
Job Summary
We are seeking an experienced Data Scientist to lead the conversion of legacy SAS codebases to Python using generative and agentic AI tools. This role involves analyzing existing SAS programs interpreting business logic and statistical methods and ensuring accurate validated Python equivalents. You will play a key role in modernizing legacy systems while maintaining data integrity and regulatory alignment.
Key Responsibilities
- Analyze and interpret existing SAS programs including business logic statistical methods and data transformations
- Leverage agentic AI tools to convert SAS code into accurate well-tested Python code
- Conduct thorough code reviews of AI-generated outputs to ensure correctness and alignment with business requirements
- Perform numerical validation by comparing Python outputs with original SAS results
- Document conversion logic statistical equivalencies and any deviations from original implementations
- Identify ambiguities in legacy SAS code and escalate to business or model owners as needed
- Collaborate with data platform engineers within a shared migration framework
- Provide inputs and requirements to enhance migration frameworks and tooling
Required Qualifications
- Minimum 3 years of experience in data science
- Strong proficiency in SAS including:
- Base SAS
- PROC SQL
- SAS Macros
- SAS/STAT SAS/ETS
- SAS Enterprise Guide
- Base SAS
- Strong proficiency in Python for data science and modeling:
- pandas
- numpy
- scikit-learn
- statsmodels
- scipy
- pandas
- Experience with SQL and working with cloud-based or remote data systems
- Familiarity with AWS services (e.g. S3) or similar cloud platforms
- Experience with Git for version control
- Hands-on experience with AI coding assistants / LLM tools (e.g. GitHub Copilot Claude)
- Strong analytical problem-solving and documentation skills
Preferred Qualifications
- Experience in regulated or enterprise environments (banking finance insurance pharma government)
- Experience working in a UNIX/Linux environment
- Familiarity with credit risk models including:
- Probability of Default (PD)
- Exposure at Default (EAD)
- Loss Given Default (LGD)
- Probability of Default (PD)
- Understanding of IFRS9 regulatory requirements
Technical Skills
- SAS (Base Macros PROC SQL SAS/STAT SAS/ETS)
- Python (pandas numpy scikit-learn statsmodels scipy)
- SQL & relational databases
- Cloud platforms (AWS preferred)
- Git (version control)
- AI/GenAI tools for code generation and automation
Additional Information
- Opportunity to work on large-scale legacy modernization initiatives
- Exposure to cutting-edge AI-driven development tools
- Collaborative environment with data engineers and business stakeholders
- High-impact role within a financial services domain
Required Skills:
Experience (Years): 4-6 Essential Skills: Work with project teams throughout the organization to design implement and manage CDN infrastructure using Akamai to ensure high availability performance and scalability for customer facing applications and business processes. Handle multiple priorities and assignments with excellence and precision. Be a part of a 24/7/365 organization (some after hours support is expected as part of normal on-call rotation). Directly support line of business development teams provide guidance to them on implementation and changes for customer facing applications Develop and maintain security protocols and measures to protect CDN infrastructure from cyber threats. Monitor and analyze network performance identifying and resolving issues to optimize content delivery of critical applications. Collaborate with cross-functional teams to integrate Akamai CDN solutions with existing systems and applications. Collaborate with information security teams to implement DDoS protection strategies and other security measures in the CDN. Provide technical support and guidance to clients and internal teams regarding CDN and security best practices. Work closely with vendor and professional service teams on delivery related activities and strategy. Qualifications: Bachelors degree in Computer Science Information Technology or a related field. OR similar work experience. Strong understanding of network protocols (HTTP/HTTPS DNS TCP/IP). Proven experience as a CDN Engineer or similar role with a strong focus on -depth knowledge of Content Delivery Network technologies including caching load balancing and content optimization. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Experience supporting 24/7/365 customer facing applications at enterprise scale. Awareness and experience with cybersecurity tools and practices such as firewalls intrusion detection/prevention systems and encryption. Proficiency in scripting and automation (e.g. Python Bash) a plus. Relevant certifications (e.g. CISSP CEH) are a plus but not required.
