Sr. Data Scientist with GCP and Machine Learning to support out telecom client’s effort to analyze customer behavior and automate business insight processes with AI. - 8932

Sr. Data Scientist with GCP and Machine Learning to support out telecom client’s effort to analyze customer behavior and automate business insight processes with AI. -

Duration: 4 Months

Location: Toronto, Hybrid 1x week for first month then remote.

 Our Telecom client’s Customer Experience, Media & Finance, Data Engineering & AI teams are building out the next generation of experience for customers across Digital and Linear properties. The team is responsible for the management and optimization BI systems used to analyze customer behavior, automate business insight processes, target marketing and provide insight to drive optimal business decisions. The Data Science group builds tools to assist decision-making, leveraging both traditional AI and Gen AI. The role will be supporting the Sr. Manager and project leads, with focus on Gen AI, Agentic AI or Conventional AI projects.

The ideal candidate will have a proven track record of using data science, machine learning and

statistics to solve complex business problems, with large, real-world datasets.

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 Data Science experience (machine learning and predictive modeling).

• Python, SQL (e.g. Google BigQuery.) or PySpark

• 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)

• Proven experience and knowledge in delivering achievable roadmaps through Agile Framework

Nice to Have

• 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