Iris Software is looking to hire a Data Scientist / ML Engineer for a full-time chance in Toronto, ON (hybrid position).

Job Title: Data Scientist / ML Engineer
Location: Toronto, ON (2 days onsite)
Full-time with Iris Software for one of the banks in downtown Toronto
The client is looking for:

data wrangling

Tool stack probably in this order - Python, PySpark, Glue, Sagemaker, SAS

Key Responsibilities

Foundation & Feature Engineering : Lead the foundational setup of Python/PySpark development environments, actively managing complex package dependencies and virtual environments using Conda/Anaconda.

Pipeline Development : Design, build, and deploy net-new data pipelines focused heavily on feature engineering and data preparation to feed downstream machine learning and analytics use cases.

Code Translation : Analyze and reverse-engineer existing SAS programs (developed by business users and data scientists) to accurately extract business rules, data transformations, and calculations.

Platform Modernization : Translate extracted SAS logic into efficient, scalable, and functionally equivalent PySpark code.

Performance Tuning : Optimize PySpark code for performance, scalability, and maintainability within distributed data processing environments.

Stakeholder Collaboration : Collaborate closely with business users and data scientists to clarify requirements, validate feature outputs, and resolve discrepancies during the migration process.

Quality Assurance : Perform robust unit testing, data reconciliation, and automated validation to ensure absolute data parity between legacy SAS outputs and the new PySpark pipelines.





Documentation : Document technical designs, code lineage, testing results, and migration methodologies for future team scaling.

Required Qualifications

Strong programming expertise in Python and PySpark for distributed data processing.

Proven experience building data pipelines specifically for feature engineering, data curation, and advanced data preparation.

Ability to read, interpret, and reverse-engineer legacy SAS code (such as SAS data steps, procedures, and macros) to extract complex business logic. (Note: Deep SAS development experience is a plus, but the ability to translate it is the core requirement).

Experience establishing and managing Python environments, ensuring reproducibility, and handling library dependencies using Anaconda/Conda.

Advanced SQL skills and experience working with large-scale structured datasets.

Experience with code migration, platform modernization, or translating legacy codebases into modern open-source stacks.

Strong analytical, problem-solving, and communication skills, with a track record of successfully interfacing directly with business stakeholders.

Preferred Qualifications

Experience working with cloud-based data platforms (Azure, AWS, or GCP).





Familiarity with version control tools (Git) and collaborative development workflows.

Experience with CI/CD pipelines, automated testing, and MLOps principles.

Exposure to financial services, banking, or other highly regulated industries.

Knowledge of data governance, data cataloging, and data quality best practices.

Key Skills

Python & PySpark

SAS Interpretation & Code Translation

Distributed Computing & Spark Optimization

Legacy Platform Modernization

Agile Delivery

About Iris Software Inc.
With 4,000+ associates and offices in India, U.S.A. and Canada, Iris Software delivers technology services and solutions that help clients complete fast, far-reaching digital transformations and achieve their business goals. A strategic partner to Fortune 500 and other top companies in financial services and many other industries, Iris provides a value-driven approach - a unique blend of highly skilled specialists, software engineering expertise, cutting-edge technology, and flexible engagement models. High customer satisfaction has translated into long-standing relationships and preferred-partner status with many of our clients, who rely on our 30+ years of technical and domain expertise to future-proof their enterprises. Associates of Iris work on mission-critical applications supported by a workplace culture that has won numerous awards in the last few years, including Certified Great Place to Work in India; Top 25 GPW in IT & IT-BPM; Ambition Box Best Place to Work, #3 in IT/ITES; and Top Workplace NJ-USA.

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📌 Data Scientist / ML Engineer (Ontario)
🏢 Iris Software
📍 Ontario