Senior Data Scientist

Chevron Corporation; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Ched Chevron Corporation in Singapore seeks a Senior Data Scientist to join the Trading Insights team, applying advanced analytics, AI, and machine learning to optimize trading decisions, margin performance, and risk management, delivering predictive insights that influence global trading operations.

The role spans data science, business engagement, and end-to-end delivery, including ownership of non-data science components.

Qualifications

• Master’s degree in quantitative discipline; PhD preferred.
• Minimum of 5 years Data Science modeling in Trading domain; proven track record in delivering trading-focused analytics.
• Forecasting/time series analysis, feature engineering, data quality management.
• Strong Python & SQL coding; knowledge of Azure Cloud tools is a plus.
• Knowledge of Generative AI/Agentic AI is desirable.

Responsibilities

• Lead end-to-end data science delivery for trading-domain problems.
• Develop prototype, POC, MVP solutions and scale them.
• Communicate results to business stakeholders and translate analytics into actionable outcomes.
• Mentor junior data scientists and analysts on projects.

Skills

Delivery leadership

Requirements gathering

Mentoring

Agile/SAFe

Communication

Education

Master’s degree in quantitative discipline

PhD preferred

Tools

Python

SQL

Azure ML

Databricks

PowerBI

DataRobot

Job description

Total Number of Openings 1 Chevron is accepting online applications for the position of Senior Data Scientist located in Duo Tower, Singapore through 03 September 2026 at 11:59 p.m. (Singapore Time). All interested applicants, please read the Data Privacy Notice before submitting application.

Team Overview

The Trading Insights team delivers measurable value to Supply & Trading by applying advanced analytics, AI, and data science to optimize trading decisions, margin performance, and risk management. By delivering predictive and machine‑learning–driven insights, the team enables faster, more informed, and more profitable decisions across the global trading organization—creating sustained competitive advantage through analytics‑led decision making.

Responsibilities

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

Relocation Options

Relocation will not be considered within Chevron parameters.

International Considerations

Selected candidate will work in Singapore under the local payroll system and benefits. Chevron participates in E-Verify in certain locations as required by law.

Company Overview

Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at www.chevron.com.