Objectives of the Position:
Digitalization will be part of our DNA at GB. We will change processes that will simplify life within but also outside of GB, sometimes even without our BASF colleagues noticing it. Within GB, we will use digital tools to stop us spending too much time on tasks that hinder us from doing the things that are really needed, such as consulting our service recipients. Digital tools will free up our time to help our internal partners and we will be able to actively shape our division’s digital footprint.
GB Strategy is to transform Kuala Lumpur Hub into a digital Hub to support BASF. GB Supply chain team is looking for an exceptional Supply chain data scientist to support in development and implementation of new digital tools that will help operations.
You will focus on designing and implementing (along with counterparts and solution architects) Supply Chain Nerve Center solutions for BASF GB Supply chain services. In addition, you will need to understand the customers' requirements and design solutions. As part of the digital transformation, you will play a key role in change management and communication to stakeholders.
Main Areas of Responsibilities and Key Activities:
Responsibilities:
Collaborating with cross-functional / cross-regional teams to understand business requirements and identify opportunities for leveraging data-driven solutions.
Work with data engineers to develop and implement robust data pipelines using Azure Data factory and Databricks, ensuring efficient and reliable data preparation.
Assisting in the development of machine learning models for various use cases such as lead time prediction, carrier recommendations, anomaly detection etc.
Deploying machine learning models into production environments and monitoring their performance to ensure optimal results.
Conducting in-depth analyses of complex datasets to uncover trends, patterns, and insights that can drive improvements in supply chain operations.
Presenting findings and recommendations to stakeholders through clear visualizations and reports.Continuously staying up to date with the latest advancements in data science techniques, tools, and best practices
Job Requirements:
Education:
Bachelor’s degree in computer science, statistics, mathematics or related field
Working Experience:
1–2 years of experience in data analytics or data science (internships included)
Technical & Professional Knowledge:
Proficiency in Python, SQL, and data visualization tools (e.g., Power BI, Tableau).Familiarity with cloud-based data platforms, especially Azure Databricks, and Data Factory.Strong analytical and problem-solving skills with attention to detail.Strong communication skills with the ability to present complex information clearly to both technical and non-technical audiences.Self-motivated individual with strong problem-solving abilities and a passion for continuous learning.