Data Scientist Senior

long term Contract //Toronto, ON//Canada . Please share resumes to Amarjeet.Kumar@akkodisgroup.com

Role: Data Scientist Senior
Location:- Toronto ON
Contract Role

Key Responsibilities:
• Collaborate with cross-functional teams to understand business requirement, define success and performance metrics
• Execute data transformations, exploratory data analysis, and feature engineering in Google Cloud Platform environment
• Build AI assistant using AI agents, build predictive models using advanced ML/AI techniques, optimize business processes and find growth opportunities
• Evaluate model performance, conduct experiments, and optimize the algorithm
• Developing and maintaining comprehensive documentation for data science projects, including methodology, results, and insights, adhering to industry best practices.
• Work closely with data engineers, business analyst, ML engineers to integrate data science solution into the current systems and processes

Minimum Qualifications: • 5+ years of extensive Data Science experience, with a focus on machine learning and predictive modeling.
• High proficiency with Python, SQL (e.g. Google BigQuery.) or PySpark
• Hands-on experience in various stages of Machine Learning Model Lifecycle (EDA, Feature Engineering, Hyperparameter Tuning, Model Evaluation, etc.)
• Strong software development foundation – a robust engineering and software development mindset
• Experience with cloud computing platforms (Preferably GCP)
• Collaborate with a wide range of stakeholders, including product, BI, project management, data engineering and MLOps teams to define and deliver AI solutions.
• Demonstrates strong communication, proactiveness, collaboration, and prioritization skills.
• Proven experience and knowledge in delivering achievable roadmaps through Agile Framework Preferred

Qualifications:
• Graduate degree in Computer Science, Engineering, Technical Science
• Experience with large language models (LLMs), retrieval augmented generation (RAG) and Agentic AI is highly desirable.
• Prior experience within the telecommunications or media-technology industries is preferred
• Experience working with large, distributed datasets to derive actionable insight