As a Data Scientist, you'll leverage your expertise to enhance logistics operations through advanced data techniques. This role is ideal for someone with a strong background in data science and a passion for improving efficiency in supply chain processes.
In this role, you will be part of the Business Intelligence division, where your main responsibility will be to apply advanced data science techniques to optimize logistics operations. You will work on predictive modelling and real-time analytics to enhance cost efficiency and service delivery. Your insights will directly impact operational resilience and efficiency in the supply chain.
Your daily tasks will include performing data preparation and feature engineering to improve model performance. You will also build and maintain data products and dashboards that support operational and planning decisions. Conducting experiments and A/B testing will be crucial 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 complex datasets. Strong analytical skills and a proactive approach to problem-solving will be key to your success in this role.
To excel, you must be proficient in predictive modelling and data enrichment techniques. Familiarity with A/B testing and dashboard development will be advantageous. If you are passionate about using data to drive operational improvements, this role offers a great opportunity to make a significant impact.
You'll be taken to the original listing on PNet to apply.