CTC007920 - Data Scientist Senior

Secteur industriel: Information Technology

Type d'emploi: Contract

Durée: Nine months

Mode de travail: Mixed

Description

Experience Data Scientist with software background would be the best fit, Generative AI experience is also preferred

Location - Toronto, ON

Bilingual not required

Remote worka. Contractors are expected to come in once per week but it is not mandatory

Typical day to day - AI /ML model building, team and stakeholders meeting, stand up

Top 3 skills sets and qualifications -

• ML/AI

• Python

• SQL

Interview process - I interview + 1 assessment, virtual

Specific projects will be work on - Analytical bot based on generative AI/ Large Language Model

Potential for extension or to hire full time exists

Client’s Customer Experience, Media & Finance, Data Engineering & AI team is building out the next generation of experience for customers across Digital and Linear properties. Our team is responsible for the management and optimization of clients’ BI systems used to analyze customer behaviour, automate business insight processes, target marketing and provide insight to drive optimal business decisions. Our Data Science group builds tools to assist decision-making, leveraging both traditional AI and Gen AI.

We are looking for an experienced Senior Data Scientist to join our innovative team. 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 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