Senior Data Scientist

Requisition ID: R000071137
Job Location: Singapore – Duo Tower

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Responsibilities for this position may include but are not limited to:

Overview of Work: 

• A solid understanding of commodity markets, including supply–demand balances, trade flows, market arbitrage, and related dynamics, is essential. 

• The role spans Data Science, business engagement and consulting, problem framing, and end‑to‑end delivery, including ownership of select non–data science components of the overall solution. 

• The position requires strong partnerships with business stakeholders and a demonstrated desire to build deep business domain knowledge to design and implement complex trading‑focused analytical models. 

• The role operates in a dynamic, fast‑paced environment, delivering prototypes, proofs of concept (POCs), minimum viable products (MVPs), and subsequent functional enhancements. 

• The successful candidate must be able to communicate effectively across business and IT audiences, translating analytical concepts into actionable outcomes. 

• In some cases, the role will lead the full solution delivery team, coordinating across disciplines to ensure successful execution. 

• Proven track record in delivering solutions such as Price and Fundamentals Forecasting. 

Required Qualifications: 

Technical Skills: 

• Master’s degree in quantitative discipline (Optimization, Statistics, Math, Engineering) 

• Preferred PHD degree or higher in the above disciplines 

• Minimum of 5 years Data Science modeling in Trading domain   Predictive modeling and machine learning (forecasting and time series analysis) 

• Feature engineering, data cleaning, and data quality management 

• Statistical and quantitative modeling foundations 

• Python & SQL coding and other languages (optional) 

• Preferred knowledge in Generative AI/Agentic AI 

• Preferred experience working with Data Robot, Databricks, PowerBI, Azure Machine Learning, and other Azure Cloud tools and technologies 

Professional Skills: 

• Delivery driven and able to work independently (self-starter) 

• Ability to discuss and gather requirements for a Data Science solution with non-technical personnel 

• Ability to package requirements for technical resources and communicate with them

• Ability to mentor junior data scientists and commercial analysts 

• Ability to work in a fast-paced environment with changing priorities

• Preferred experience with Azure DevOps (ADO) tool for work management

• Preferred experience in Agile/SAFe practices