Data Scientist - ML Ops

Toparo; Montreal; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading logistics firm in Montreal is seeking an intermediate-level Data Scientist to innovate within the field of AI and machine learning. This role involves developing advanced ML applications, leveraging AWS for deployment, and enhancing efficiency in logistics operations. The ideal candidate has a Master's degree and 3+ years of experience in ML Ops and Data Science, with strong coding skills in Java and Python. Competitive benefits and flexible work options are offered.

Benefits

Competitive benefits package

5% match on Retirement Savings Plan

Employer-sponsored training opportunities

Qualifications

• 3+ years of hands-on experience in ML Ops & Data Science.
• Deep understanding of machine learning principles.
• Strong mathematical aptitude.

Responsibilities

• Research and implement advanced ML algorithms and tools.
• Develop and deploy machine learning applications.
• Conduct rigorous testing and experimentation.

Skills

Machine Learning Operations

Data Science

Java

Python

AWS Technologies

Education

Master's degree in a relevant field

Tools

Spark

R

Job description

Overview

Are you ready to make an impact in the dynamic world of logistics? Our client, a leading player in the industry, is seeking an intermediate-level Data Scientist specializing in AWS technologies. This is your opportunity to drive innovation, spearhead exciting projects, and contribute to the evolution of machine learning in a fast-paced environment.

Key Responsibilities

• Lead Innovation: Take charge of groundbreaking projects, independently driving the development and deployment of new models across multiple sites.
• Enhance Efficiency: Develop cutting-edge AI models to optimize delivery speed and efficiency, revolutionizing logistics.
• Push Boundaries: Explore new frontiers in AI technology, creating self-learning applications that adapt and evolve to meet evolving challenges.

Your Role

As a Data Scientist, you\'ll be at the forefront of AI innovation, tasked with:

• Researching and implementing advanced ML algorithms and tools.
• Developing and deploying machine learning applications to meet specific requirements.
• Conducting rigorous testing and experimentation to refine models and algorithms.
• Presenting complex models to stakeholders and explaining their significance.
• Leveraging AWS infrastructure for seamless model deployment and management.
• Devising novel algorithms to tackle unique challenges in the logistics domain.

Ideal Candidate Profile

• Proven Experience: 3+ years of hands-on experience in ML Ops & Data Science
• Advanced Qualifications: A Master’s degree in a relevant field, demonstrating a deep understanding of machine learning principles.
• Technical Proficiency: Expertise in Java, Python (Spark), and R, with a knack for writing robust, efficient code.
• AWS Mastery: Extensive experience with AWS technologies, particularly in ML Ops.
• Analytical Skills: Strong mathematical aptitude with a solid grasp of probability, statistics, and algorithms.
• Innovative Mindset: A passion for pushing the boundaries of AI, coupled with a positive and assertive attitude.
• Excellent Communication: Effectively communicating complex concepts to technical and non-technical stakeholders.

What You\'ll Get

• Career Growth: A permanent, full-time position with ample opportunities for professional development.
• Comprehensive Benefits: Enjoy a competitive benefits package, including health, dental, vision, and retirement plans.
• Financial Security: Benefit from a 5% match on our Retirement Savings Plan (REER), ensuring your long-term financial stability.
• Work-Life Balance: Embrace flexibility with hybrid or 100% remote work options, allowing you to maintain a healthy work-life balance.
• Continuous Learning: Access employer-sponsored training opportunities to stay ahead in the rapidly evolving field of machine learning.