At a Glance
- Tasks: Transform SAS analytics into scalable Python solutions and mentor team members.
- Company: Join a diverse and inclusive tech company focused on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with a commitment to diversity and inclusion.
- Why this job: Make a real impact by modernizing analytics processes and leading a talented team.
- Qualifications: 5+ years in Python and SAS, strong SQL skills, and experience with legacy code migration.
The predicted salary is between 110250 - 134750 $ per year.
Our client is seeking a Data Scientist to support a strategic initiative focused on modernizing and migrating existing SAS-based analytics processes into Python. This individual will serve as a Python subject matter expert, helping guide technical design decisions, translate legacy workflows, and support a team navigating a large-scale code migration effort.
Responsibilities
- Convert existing SAS programs, scripts, and analytical workflows into scalable Python solutions.
- Partner with existing team members to understand current SAS-based processes and determine the optimal Python design and implementation approach.
- Interpret, design, develop, test, and document Python code for analytics and data processing use cases.
- Refactor and modernize legacy code bases while maintaining functionality and performance.
- Support data engineering activities, including querying and transforming data using SQL.
- Participate in code reviews and contribute to development standards and documentation.
- Collaborate with project managers, developers, analysts, and business stakeholders to ensure successful delivery.
- Mentor and coach team members as they increase their Python capabilities.
- Help validate migrated solutions and ensure outputs are consistent with legacy processes.
Skills and Requirements
- 5+ years of experience working with Python and SAS including scripting and data processing.
- Demonstrated experience migrating, modernizing, or refactoring legacy applications or code bases.
- Experience using Anaconda for package and environment management.
- Strong SQL skills, including writing queries involving joins, filtering, aggregations, and data transformations.
- Experience working with large datasets and data processing workflows.
- Strong troubleshooting and problem-solving abilities.
- Excellent verbal and written communication skills.
- Ability to work independently and navigate ambiguity within evolving project requirements.
- Previous experience acting as a technical lead, SME, mentor, or coach within a development team.
- Linux/Bash experience.
- Experience with server-side job scheduling tools such as Crontab.
- Experience with secure file transfer processes (SFTP).
- Fraud analytics, forensic analytics, AML, risk, or financial services experience.
- Banking industry experience.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.
If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.
SAS Data Scientist in Toronto employer: Insight Global
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