As a Data Scientist, you'll play a key role in enhancing logistics operations through advanced data techniques. This position is ideal for someone with a solid background in data science and a passion for improving efficiency in supply chain processes.
In this role as a Data Scientist, you will be part of the Business Intelligence division, where your main focus will be on applying 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 influence operational resilience and decision-making processes.
Your day-to-day responsibilities will include: • Performing data preparation and feature engineering to improve model performance. • Building and maintaining data products and dashboards that support operational and planning decisions. • Conducting experiments and A/B testing to measure the impact of your data science solutions. • Collaborating with other teams to ensure that data-driven insights are effectively implemented.
This role is best suited for someone with 3-5 years of experience in data science, particularly in logistics or supply chain environments. You should be comfortable with data enrichment techniques and have a strong analytical mindset. If you enjoy working with data to solve complex problems and improve operational efficiency, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.