Data Scientist

Hyundai Motor Group Innovation Center Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading automotive innovation center in Singapore is seeking experienced data scientists to apply data-driven solutions to resolve manufacturing issues and enhance productivity. Candidates should have a strong background in data science, particularly in optimization and AI/ML, with 2-5 years of relevant experience. Fluency in English is essential. This role involves collaboration in multi-disciplinary teams to drive improvements across production environments.

Qualifications

• 2-5 years of project execution experience as a data scientist in manufacturing.
• Experience in implementing data science/AI projects in industrial environments.
• Expertise in algorithm development and large-scale data analysis.

Responsibilities

• Apply data-driven problem-solving techniques to manufacturing challenges.
• Develop and maintain predictive models for production improvements.
• Train staff to utilize data science insights for performance enhancement.

Skills

Data Analytics

Optimization

AI/ML

Generative AI

Problem-solving

Data Science

Machine Learning

English fluency

Education

Bachelor's or Master's degree in Industrial Engineering, Computer Science, Mathematics

Tools

Regression models

PyTorch

TensorFlow

Spark

Hadoop

Scikit-learn

Job description

Your Mission

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 Expect

HMGICS 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.
• Fluent in English (written & spoken).