As a Data Scientist, you'll leverage advanced techniques to enhance logistics operations. This role is ideal for someone with a strong background in data science and a passion for improving efficiency in supply chains.
In this role, you'll be part of the Business Intelligence division, where your main goal is to optimize logistics operations through data science. You'll apply advanced techniques to improve various aspects of logistics, such as route planning and fleet utilization. Your work will directly impact cost efficiency and service delivery, making it a crucial position within the company.
Your daily tasks will include performing data preparation and feature engineering to enhance model performance. You'll also build and maintain data products and dashboards that support operational and planning decisions. Experimentation is key, so you'll conduct A/B testing to measure the effectiveness of your data science solutions.
This position is best suited for someone with a solid background in data science, particularly in logistics or supply chain. You should have at least 3-5 years of experience and be comfortable working with predictive modelling and real-time analytics. A strong analytical mindset and the ability to translate data into actionable insights will be essential for success in this role.
If you're passionate about using data to drive improvements and have a knack for problem-solving, this could be the perfect opportunity for you. Join a team that values data-driven decision-making and is committed to enhancing operational resilience.
You'll be taken to the original listing on PNet to apply.