Data Science Expert for Logistics Innovation

1 month ago


Montreal, Quebec, Canada Toparo Full time

We are seeking an intermediate-level Data Scientist to lead innovation and drive the development of machine learning applications in our dynamic logistics environment.

Key Responsibilities:

  • Lead groundbreaking projects, independently driving the development and deployment of new models across multiple sites.
  • Develop and deploy machine learning applications to meet specific requirements.
  • Conduct rigorous testing and experimentation to refine models and algorithms.
  • Leverage AWS infrastructure for seamless model deployment and management.

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.
  • Analytical Skills: Strong mathematical aptitude with a solid grasp of probability, statistics, and algorithms.
  • Excellent Communication: Effectively communicating complex concepts to technical and non-technical stakeholders.

What We Offer:

  • 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.

Estimated Salary: $120,000 - $180,000 per year.



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