
Data Scientist
2 weeks ago
Join to apply for the Data Scientist role at Hyundai Motor Group Innovation Center Singapore (HMGICS)
This position is responsible for applying data-driven problem-solving, data science, and optimization techniques to resolve real-life manufacturing problems and deploy the ideated solutions in a production environment.
What To ExpectHMGICS is seeking data scientists with a deep interest in solving real-life industrial problems and applying their solutions at scale in a mass-production environment. Candidates should have a technological interest in at least one of the following domains: Data Analytics, Optimization, AI/ML, or Generative AI & LLMs. Additionally, candidates should have a functional interest in at least one of the following areas: logistics, supply chain, assembly, quality, maintenance, or enterprise functions.
- Participate as a data scientist in multi-disciplinary project teams aiming to improve the performance of our production environment in specific areas such as logistics and supply chain, assembly, maintenance, and quality.
- Perform explanatory analytics to understand the key underlying drivers of performance and how to further optimize them.
- Develop and maintain optimization or predictive models as required to assist production in delivering productivity, flexibility, quality, or sustainability improvements.
- Deploy these models in production and train engineers and technicians to leverage the insights for improving their day-to-day performance.
What You'll Bring
- Bachelor's or Master's degree in Industrial Engineering, Computer Science, Mathematics, or equivalent practical experience.
- 2-5 years of project execution experience as a data scientist, resolving industrial problems across the value chain, including manufacturing, and ensuring the adoption of data science solutions.
- Preferred experience in the manufacturing and/or automotive industry.
- Strongly preferred experience in implementing data science and/or AI projects in real-life industrial environments (large POCs or at-scale deployments).
- Critical end-to-end problem-solving skills, including rapid and rigorous issue analysis, idea development and implementation, and feasibility demonstration and deployment at scale.
- Experience in applying Regression/Classification/Clustering models, Large scale data analysis, Time series analysis, Forecasting models, or Kernel-based methods.
- Experience in algorithm development using Mathematical programming (Linear programming, Mixed-integer programming), (Meta)Heuristic algorithms, Stochastic Process, or Combinatorial Optimization.
- Expertise in processing large-scale datasets in distributed data frameworks (Hadoop, Spark, or Hive).
- Expertise in data mining frameworks such as PyTorch, TensorFlow, Scikit-learn, or MLlib.
- Expertise in applying machine learning, Generative AI, LLMs is a plus.
- Entry level
- Full-time
- Engineering and Information Technology
- Industries: Motor Vehicle Manufacturing
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