Data Science Expert for Logistics Innovation
1 month ago
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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