Data Scientist - ML Ops

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.

• 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.

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.

• 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.

• 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.