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Data Scientist

SpringCube

Full time - Senior Associate/ Asst Manager

Automotive

Singapore ( Onsite )

Published 4 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Data Scientist 

Company Overview

This innovation center supports an advanced mobility ecosystem and a smarter way of urban living. Based in Singapore’s Jurong Innovation District, this hub brings together researchers, technology experts, and training providers to explore revolutionary business ideas and technologies. Focused on transforming the customer experience and delivering innovative mobility solutions, the center is dedicated to enriching communities and enhancing urban life.

Job Description

This role will leverage data science and optimization to solve manufacturing challenges, deploying scalable solutions in a production setting. The ideal candidate is passionate about solving industrial problems, with a technological focus in areas such as Data Analytics, Optimization, AI/ML, or Generative AI. Functional knowledge in logistics, supply chain, assembly, quality, maintenance, or enterprise functions is highly desirable.

Responsibilities

  • Participate in multi-disciplinary project teams to enhance production performance in logistics, supply chain, assembly, maintenance, and quality.
  • Conduct analytics to identify performance drivers and areas for optimization.
  • Develop and maintain optimization or predictive models to boost productivity, flexibility, quality, and sustainability.
  • Deploy models in production, training engineers and technicians to use insights for day-to-day improvements.

Qualifications

  • Bachelor’s or Master’s degree in Industrial Engineering, Computer Science, Mathematics, or equivalent experience.
  • 2-5 years of experience as a data scientist, especially in industrial problem-solving and solution adoption.
  • Experience in the manufacturing and/or automotive industry is preferred.
  • Strong background in implementing data science or AI projects in industrial environments.
  • Skills in regression, classification, clustering models, large-scale data analysis, time series analysis, forecasting, and kernel methods.
  • Proficient in algorithm development using mathematical programming, heuristic algorithms, or stochastic processes.
  • Expertise in distributed data frameworks (e.g., Hadoop, Spark) and data mining tools (e.g., PyTorch, TensorFlow, Scikit-learn).
  • Experience with machine learning, Generative AI, and LLMs is a plus.
  • Fluent in English.

Disclaimer: SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. Users must click to apply, redirecting to the employer’s career page.
  4. No Liability: SpringCube is not liable for inaccuracies.