Job Description (Accountability)

Data Scientist

Responsibilities:

• Build predictive models for commodity futures prices (corn, soybean, wheat) using statistical, machine learning, and deep learning techniques.

• Design and implement quantitative models for risk management, demand and supply estimation, and optimization of business decisions.

• Translate analytical results into clear visualizations and communicate findings effectively with both technical and non-technical stakeholders.

• Rigorously backtest models and trading strategies to ensure accuracy and robustness.

• Develop procurement and hedging strategies by leveraging financial instruments (futures, options)

• Productionize models on cloud platforms (GCP) and build end-to-end pipelines to ensure ongoing performance monitoring and maintenance.

• Research and develop new quantitative models, and conduct a knowledge sharing session to team members.

• Present analytical insights, model outcomes, and strategic recommendations to executive

Qualifications:

• Bachelor’s degree or higher in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related discipline

• Strong foundation in statistical analysis, machine learning concepts, deep learning models, algorithms, and optimization techniques

• Proficient in programming with Python (including libraries such as scikit-learn, TensorFlow, PyTorch), R, and SQL

• Practical experience with statistical and machine learning methods, including but not limited to: probability distributions, generalized linear models (GLM), regression analysis, time-series forecasting, tree-based models, boosting methods, bootstrapping, and neural networks

• Hands-on experience with data visualization tools such as Tableau, Looker Studio, or Power BI

• Familiarity with cloud platforms, particularly Google Cloud Platform (GCP)

• Strong problem-solving and analytical skills, with the ability to communicate technical concepts clearly to diverse audiences

• Excellent interpersonal skills, including the ability to collaborate effectively in a team environment, manage multiple tasks, and prioritize under pressure

• (Nice to have): Knowledge of financial instruments, commodity trading, investment strategies, or hedging techniques

• Self-motivated with a proactive, can-do attitude

• Open to new graduates with strong potential and a willingness to learn

Job Purpose

Data Scientist

Education

Competencies

Skills (from Role)