Supply Chain Data Scientist
5 months ago
**_Do you want to work with passionate teams, providing excellent business and digital services to the Asia Pacific region? _**
**_Do you want an open, supportive, and caring working environment?_**
**_ Do you view your development needs seriously as we do?_**
**_ If YES, then take your career to the #NextLevel with BASF _**
**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. GBC Supply chain team is looking for an exceptional Supply chain professional 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) Control Tower solutions for BASF Overseas delivery services. In addition, you will need to understand the customers' requirements and use cases to map to the Control Tower solution. As part of the digital transformation, you will play a key role in change management and communication to stakeholders.
**Main Tasks**
- Collaborating with cross-functional / cross-regional teams to understand business requirements and identify opportunities for leveraging data-driven solutions.
- Developing, implementing, and maintaining data pipelines using Azure Data Factory and Databricks to ensure efficient data flow between various systems.
- 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 thorough 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.
**Requirements**:
Education
- Bachelor’s degree in computer science, Statistics, Mathematics or related field
Working Experience
- 1-2 years of experience working with data science techniques such as machine learning algorithms, statistical modelling, or optimization methods.
Technical & Professional Knowledge
- Strong programming skills in Python; experience with SQL or R is a plus.
- Hands-on experience with Azure Data Factory and Databricks or similar cloud-based data processing platforms.
- Knowledge of machine learning libraries such as Scikit-learn, TensorFlow or PyTorch is preferred.
- Excellent analytical skills with the ability to collect, organize, analyze large datasets effectively.
- 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.
**BASF Asia-Pacific Service Centre was established in 2005. Located in Kuala Lumpur, the regional service hub has approximately 1,100 employees and growing. Focused on being a competency and digitalization driven hub, it also provides quality functional and know-how services in the areas of finance, controlling, human resources, real estate and facilities management, communications, environmental, health and safety, procurement, import-export order management, and information services to BASF companies and affiliates in the Asia Pacific region. BASF also has two other regional hubs located in Berlin, Germany, and Montevideo, Uruguay that cover the Europe and Americas regions.
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