Data Scientist

HYUNDAI MOTOR GROUP INNOVATION CENTER IN SINGAPORE PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading automotive innovation center in Singapore seeks a Data Scientist to apply data-driven problem-solving techniques and optimize manufacturing processes. The role involves analyzing complex datasets, deploying machine learning models, and creating visualizations to guide decision-making. Candidates should have a relevant degree, 5 years of experience, and familiarity with data science and AI implementation in industrial settings. This position promotes innovation and supports multi-disciplinary teams in enhancing production efficiency.

Qualifications

• 5 years of project execution experience as a data scientist in industrial environments.
• Experience in implementing data science and AI projects in real-life settings.
• Expertise in processing large-scale datasets using distributed frameworks.

Responsibilities

• Analyze large datasets to identify performance trends and optimization opportunities.
• Design, build, and deploy machine learning models to solve business challenges.
• Create dashboards and reports to communicate insights to stakeholders.

Skills

Data analysis

Automation

Machine learning

Data visualization

Problem-solving

Education

Bachelor's or Master's degree in related fields

Tools

Power BI

Tableau

Python

Hadoop

Spark

TensorFlow

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

[Data Analysis & Insights Generation]

• Analyze large, complex datasets to identify trends, patterns, and derive key underlying drivers of performance and how to further optimize them
• Identify opportunities for automation, process optimization, and innovation using data-driven approaches

[Data Science Solutions]

• Design, build, and deploy machine learning models and algorithms to solve business challenges and improve operational efficiency
• Collaborate with other team members to integrate AI/ML solutions into use case applications
• Train engineers and technicians to leverage the insights for improving their day-to-day performance

[Data Visualization & Reporting]

• Create interactive dashboards, reports, and visualizations to communicate insights to non-technical stakeholders.
• Use tools like Power BI, or Python libraries to present findings effectively

[Collaboration & Stakeholder Engagement]

• 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
• Act as a subject matter expert on data science, providing guidance and support to project teams
• Recommend and implement new tools, techniques, and methodologies to enhance project outcomes

What You'll Bring

• Bachelor's or Master's degree in Industrial Engineering, Computer Science, Statistics, Mathematics, or equivalent practical experience.
• 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 with data visualization tools like Tableau, Power BI
• 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.