Data Scientist
On-site · Shanghai, Shanghai, China or Beijing, Beijing, China
Job Summary
Data Scientist role supporting commodity trading and market analysis by designing scalable data solutions, automating data workflows, and developing quantitative models. Responsibilities include building automated data processing pipelines, handling large multi-source datasets, applying statistical techniques for trading decisions, creating predictive solutions for supply-demand forecasting and pricing, collaborating with trading/analytical teams to translate business questions into robust data models, sourcing new datasets, developing dashboards/visualizations to communicate model results, and continuously improving modelling methodologies and data workflows. Fluency in English and Mandarin; strong programming skills (Python, Spark, SQL); experience with Dremio, Databricks, Tableau; degree in a quantitative discipline; willingness to work in Beijing or Shanghai offices with flexible arrangements.
Required Qualifications
- Strong programming skills (e.g. Python, Spark, SQL)
- Experience with large datasets and developing quantitative models using tools such as Dremio, Databricks and Tableau
- Strong interest in commodities trading (prior commodity experience advantageous)
- Degree in computer science, mathematics, statistics, engineering, quantitative finance or related discipline
- Strong understanding of data processing, data modelling, statistical analysis and automated workflows
- Fluent in English; proficiency in Mandarin
- Ability to work in a trading environment and meet tight deadlines
- Comfort with teamwork, self-motivation and adaptability
- Willingness to consider flexible/full-time or part-time arrangements
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