Senior Developer, Data Science chez None

Arobas personnel is looking for a Senior Developer, Data Science for a contract with one of our clients located in Toronto.

 *Remote : Hybrid- 1 days/week in the office* 

What does your day to day look like? 

• Collaborate with cross-functional teams to understand business needs, define success criteria, and establish performance metrics.
• Perform data transformations, exploratory data analysis, and feature engineering within a Google Cloud Platform environment.
• Build AI assistants using AI agents, design predictive models leveraging advanced ML/AI techniques, and optimize business processes to uncover growth opportunities.
• Evaluate and fine-tune models through experiments, algorithm optimization, and performance monitoring.
• Develop and maintain clear, comprehensive documentation of methodologies, results, and insights, in line with industry best practices.
• Work closely with data engineers, business analysts, and ML engineers to integrate data science solutions into existing systems and processes.

What we’re looking for? 

• 5+ years of hands-on Data Science experience, with expertise in machine learning and predictive modeling.
• Strong proficiency in Python, SQL (BigQuery preferred), or PySpark.
• Solid experience across the Machine Learning Model Lifecycle (EDA, feature engineering, hyperparameter tuning, evaluation, etc.).
• Strong foundation in software engineering and development practices.
• Experience with cloud platforms (GCP preferred).
• Proven ability to collaborate with diverse stakeholders—product, BI, project management, data engineering, and MLOps teams—to deliver scalable AI solutions.
• Strong communication, collaboration, and prioritization skills with a proactive mindset.
• Familiarity with delivering actionable roadmaps through the Agile framework (preferred).

Preferred Qualifications:

• Graduate degree in Computer Science, Engineering, or a related technical field.
• Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI.
• Previous work experience in telecommunications or media-technology industries.

• • Proven ability to work with large, distributed datasets to generate actionable insights.