Senior Data Scientist

apartmentHudson placeToa Payoh scheduleFull-time calendar_month25/4/26

Major Foreign-Based Manufacturing Organisation in Singapore

Key Data Role in Singapore
Employee-Centric Environment

Our client is one of the world prominent organisation in manufacturing industry with yearly revenue in billion USD. Now, it is now looking to hire an experienced Senior Data Scientist for its regional Data headquarter in Singapore.

Requirements:

PhD or Master’s degree holder in the relevant field with minimum of 3 years of Data Science exposure in manufacturing/industrial/engineering or similar industry
Individual with Bachelor’s degree and at least 5-years of relevant Data Scientist experience in manufacturing/industrial/engineering or similar industry will also be considered.
Domain knowledge in research & development, supply chain, operation planning, engineering and/or production.
Proven experience in business context to apply Data Science, Machine learning, Deep Learning
Profound knowledge and understanding (e.g. application, limitation, challenges) of predictive or/and prescriptive analytics in various business scenarios.
Hands-on modelling/coding experience using various tools/libraries (e.g. AutoGluon, Ultralytics, Gurobi, TensorFlow, PyTorch, SciKit-Learn, Keras)
Proficiency in programming language (e.g. Python, Java) and database querying (e.g. SQL)
Self-motivated, proactive, independent learner, and willing to share knowledge with broader data analytics team to build learning R&D culture.
Prior work experience in supporting and liaising with peers and supporting business stakeholders including China market.
You MUST BE based in Singapore currently and has relevant work experience in Singapore.

NOTE: Please do attach your latest resume in your submission. We will not be able to process your application without your resume attachment. Please rest assured that your interest will be treated with strictest confidentiality.

Chua Keow Por
Hudson RPO (Singapore) Pte Ltd
EA Personnel Number: R1105253

Company EA Number: 18C9146

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