Not specified (assumed to be flexible based on the job description).
Bachelor degree in data science or related field
2+ years experience in data science and machine learning
Proficiency in python, java, and sql programming
DSBJ PTE. LTD. is seeking a Data Scientist to apply advanced analytics techniques to transform data into actionable insights for improved decision-making. The ideal candidate should have a background in data science with hands-on experience in machine learning, programming, and analytics modeling, along with strong communication skills to engage with non-technical stakeholders
Job Summary
The role involves applying advanced analytics techniques like operations research and machine learning to drive faster decision-making.
You will build, validate, and launch prototypes while collaborating with big data and software engineering teams on cutting-edge research.
Proficiency in both English and Chinese is required to liaise with the Chinese-speaking associates at the Headquarter office.
Matching Summary
Match Score: 85
DSBJ PTE. LTD. is seeking a Data Scientist to apply advanced analytics techniques to transform data into actionable insights for improved decision-making. The ideal candidate should have a background in data science with hands-on experience in machine learning, programming, and analytics modeling, along with strong communication skills to engage with non-technical stakeholders.
Skills & Requirements
Must-have
Bachelor degree in Data Science or related field
2+ years experience in Data Science and Machine Learning
Proficiency in Python, Java, and SQL programming
Hands-on modeling with TensorFlow, PyTorch, or Scikit-Learn
Experience with AutoGluon, Ultralytics, or Gurobi tools
Ability to translate business requirements into technical solutions
Nice-to-have
Domain knowledge in supply chain and manufacturing
Experience in intelligent document processing or computer vision
Bilingual proficiency in English and Chinese
Proactive independent learner with R&D mindset
Strong communication skills for non-technical stakeholders
Key Requirements
At least Bachelor degree in Data Science, Applied Mathematics, Statistics, Computing Science, Electrical/Computer Engineering, Business Analytics
Minimum of 2 years of work experience in academic or business context
Self-motivated, proactive, independent learner willing to share knowledge