Data Scientist/Quantitative Researcher

Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Data Scientist/Quantitative Research position is a part of the Global IT Department, which is directly overseen by the Group's CIO. Our team currently comprises of over 40 IT, software, and data professionals primarily based in Shanghai, Singapore, and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team!

Job Responsibilities:

. Conduct rigorous, open-ended research to address complex business questions using diverse datasets, deriving actionable insights that provide a competitive edge for the company

. Develop and maintain high-quality datasets, integrating internal and external data sources to support advanced analytics and machine learning initiatives.

. Build and deploy AI/ML models to address a range of business needs, from operational automation to strategic decision-making, ensuring models are impactful and aligned with organizational goals.

. Analyze and prioritize the company's key challenges, applying the 80/20 principle to focus efforts on high-impact problems.

. Foster a culture of learning and innovation by documenting processes, results, and data products to ensure transparency, reusability, and organizational knowledge sharing.

Requirements:

. Preferably 3 years of professional experience as a Data Scientist.

. Fresh graduates from universities with at least 3 months of internship experience are welcome to apply.

. A degree in statistics, mathematics, computer science, economics or similar fields from a leading university

. Strong analytical mindset with a proven ability to extract deep, non-obvious insights through persistent inquiry and statistically rigorous methods.

. Strong SQL and python fundamentals (PyTorch, Pandas, Numpy)

. Interest or experience in maritime logistics, demand planning, pricing strategies, or similar domains.

. Proficiency in Mandarin is an added advantage to effectively liaise with Chinese-speaking counterparts.

. Interest/background in ML Ops and deploying models as microservices via Azure/Databricks

. Academic research experience, particularly in areas relevant to logistics, operations research, or econometrics.