Data Scientist

Surge Group; Toronto; On-site; CAD 150,000 - 200,000; Full time

Job summary

A leading tech firm is seeking a Data Scientist in Toronto to collaborate on AI-driven business solutions. This role requires 5+ years of experience in data science, strong skills in predictive analytics and machine learning, and proficiency in Python and SQL. The position involves developing intelligent automation tools and optimizing workflows. This is a contract position lasting 10 months with a competitive day rate.

Qualifications

• 5+ years working in Data Science, strong focus on predictive analytics and machine learning.
• Expertise in Python, SQL, or PySpark for data manipulation and modeling.
• Knowledge of end-to-end machine learning, feature engineering, hyperparameter tuning, and performance evaluation.

Responsibilities

• Collaborate with cross-functional teams to define objectives and establish KPIs.
• Leverage cloud-based platforms to transform raw data and extract insights.
• Design intelligent automation tools, predictive models, and ML-driven solutions.

Skills

Predictive analytics

Machine learning

Python

SQL

Project management

Agile methodology

Education

Advanced degree in Computer Science, Engineering, or a related field

Tools

Google Cloud Platform

PySpark

Job description

This range is provided by Surge Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range: $30.00 / hr - $35.00 / hr

Are you a Data Scientist looking for a new challenge?

The Role:

1. Strategic Collaboration: Work alongside cross-functional teams to define objectives, establish KPIs, and align AI-driven solutions with business goals.
2. Data Processing & Insights: Leverage cloud-based platforms to transform raw data, conduct exploratory analysis, and extract valuable insights.
3. AI Model Development: Design intelligent automation tools, predictive models, and ML-driven solutions to optimize workflows and unlock new opportunities.
4. Performance Optimization: Monitor, experiment, and fine-tune algorithms to enhance efficiency and ensure scalability.
5. Knowledge Sharing: Document methodologies, findings, and best practices to maintain transparency and support continuous learning.
6. Seamless Integration: Collaborate with engineers, analysts, and AI specialists to incorporate intelligent systems into operational pipelines.

What You Bring to the Team:

• Experience Level: 5+ years working in Data Science, with a strong focus on predictive analytics and machine learning.
• Technical Proficiency: Expertise in Python, SQL (e.g., BigQuery), or PySpark for data manipulation and modeling.
• ML Model Development: Practical knowledge of end-to-end machine learning, including feature engineering, hyperparameter tuning, and performance evaluation.
• Software Engineering Foundations: Ability to develop scalable, production-ready AI models.
• Cloud Expertise: Hands-on experience with cloud services, ideally Google Cloud Platform (GCP) or similar.
• Cross-Functional Communication: Comfortable working with diverse teams, including product managers, data engineers, and AI practitioners.
• Agility & Adaptability: Strong prioritization, problem-solving, and project management skills within an Agile framework.

Bonus Points:

• Advanced degree in Computer Science, Engineering, or a related field
• Hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI-driven automation
• Industry knowledge in telecommunications, media, or technology sectors

Location: Toronto

Duration: 10 months rolling

Day Rate: 250 - 280 CAD

Seniority level: Mid-Senior level

Employment type: Contract

Job function: Information Technology

Industries: Telecommunications

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