ASSISTANT RESEARCH OFFICER (Data Analytics / Machine Learning)

Wilmar International Limited is Asia’s leading agribusiness group. Wilmar International business activities include oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing and merchandising, specialty fats, oleochemicals, biodiesel manufacturing, and grains processing and merchandising. It has over 1,000 manufacturing plants and an extensive distribution network covering China, India, Indonesia and some 50other countries. The Group is backed by a multinational workforce of about 100,000 people.

We are currently recruiting for an Assistant Research Officer to join Wilmar’s corporate lab (Wil@NUS). The potential candidate will be primarily involved in data analytic sand machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centers to predict quality parameters related to the product.

The main responsibilities of the incumbent include, but are not limited to:

• Manage and preprocess data.
• Code and script based on specified tasks.
• Perform statistical analysis and apply machine learning techniques, including:

- Forecasting using time series data.

-Neural networks, particularly recurrent and long short-term memory networks.

• Apply computational techniques to solve open problems.
• Participate in seminars and research-in-progress meetings with the team and collaborators.

Job Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Statistics, Mathematics, or a related field.
• Team player with the ability to communicate technical concepts to non-technical audiences.
• Ability to code in languages such as R, Python, Java, and Bash.
• Machine learning and statistical background.
• Positive learning attitude towards new ideas.

Skills

Machine Learning, Computer Engineering, Programming Languages, Administrative Work, Mathematics, Data Management, Bash, Automating Tasks, Computer Science, Python, Technical Marketing, Recurrent Neural Network, Statistical Techniques, Time Series Forecasting, Java, Maintaining A Positive Attitude, Collaborate With Internal Team, Computational Methods