Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc ).
You will be part of our exciting and rapidly expanding Kuala Lumpur Modeling, Optimization & Data Science team working and collaborating on a global scale providing deep technical insights and support to ExxonMobil’s Product Solution Business and supply chain/commercial activities
We are seeking a data-driven Entry-Level Data Scientist to join our semiconductor engineering team. This role is ideal for recent graduates who are passionate about applying data science and automation to solve complex engineering challenges and improve the manufacturing process.
Partner closely with clients to assess data and AI maturity, define responsible AI strategies, and design AI operating models aligned with business goals and regulatory standards.
Requirements gathering; configuring of Workday solution, demonstrating the configurations through the development of prototype systems, and assist the client in testing
Requirements gathering; configuring of Workday solution, demonstrating the configurations through the development of prototype systems, and assist the client in testing
You may be assigned as Level 2 AMS support between Business/Client IT Team, partnering systems, and Application Managed Services (AMS) team. In this role, you are expected
Develop and optimize standardized delivery processes for data center products, covering design, manufacturing, logistics, and installation to ensure efficient and reliable product delivery.
Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc).
Extensive full life-cycle expertise (requirements → design → development → testing → deployment) in modern data warehousing, including ETL/ELT development, CI/CD automation, enterprise data integration, dimensional and relational data modelling, data domain architecture, data lake analytics, Apache Iceberg tables, Control‑M scheduling, and enterprise BI solutions.