OOCL is looking to leverage data science and AI to optimize its logistics and supply chain operations, predict demand fluctuations, improve equipment management, and enhance sales strategies. The role involves implementing digital products and driving process improvements within regional offices.
Requirements
- Proficiency in programming languages such as Python for data manipulation, analysis, and modelling
- Experience with Gen AI solution developments with models and libraries like GPT, LangChain, Transformers
- Strong understanding of machine learning techniques, statistics, and optimization algorithms
- Experience with data visualization tools like PowerBI, or matplotlib/seaborn for effective communication of insights
- Familiarity with logistics and supply chain concepts, including transportation modes, inventory management
- Excellent problem-solving skills and the ability to translate business questions into analytical solutions
Responsibilities
- Collect and clean data from various sources including shipment records, tracking data, inventory reports, customer interactions and more.
- Preprocess and engineer features from raw data, ensuring data quality, consistency, and relevance for AI model training.
- Develop statistical and machine learning models to predict demand fluctuations, lead times, and market trends, enabling better equipment management and sales strategies.
- Combine NLP with structured data analysis to extract insights from unstructured sources like customer feedback, emails, vendor communication, and industry news to inform supply chain strategies.
- Conduct in-depth experiment on algorithms and libraries during business solution delivery to define standard solution patterns, architectures and methodologies.
- Use optimization techniques to solve complex logistics problems, such as vessel routing, load planning, and network optimization.
- Create informative and visually appealing dashboards, reports, and presentations to communicate findings to both technical and non-technical stakeholders.
Other
- On-site role Mon-Fri (w/ 1 hour lunch)
- Collaborate with subject matter experts to understand business processes, identify problems and opportunities for business improvement and data science solution implementation.
- Collaborate with business users to identify opportunities for process improvement, cost reduction, and efficiency enhancement.
- Collaborate with software engineers to design and create intelligent business solutions.
- Stay updated with the latest advancements in data science, machine learning, artificial intelligence, and logistics technologies to incorporate innovative solutions into the workflow.
