Data Scientist (Ipoh)

This position is located at Tasek Industrial Estate, 31400 Ipoh, Perak, Malaysia. Please check the travel distance before confirming your application for the position.

Job Requirements:

1. Minimum of 3 years of experience in a data science/analytics role.
2. MSc level degree in a quantitative discipline such as computer science (especially machine learning), statistics, applied mathematics, quantitative finance or industrial engineering or equivalent practitioner experience.
3. Understanding of data science algorithms, and experience writing clean, efficient Python code involving ETL processes, data manipulation, and standard data science packages (e.g., SciPy, NumPy, Pandas, Scikit-learn).
4. Experience applying advanced analytical and statistical methods to solve business problems.
5. Demonstrated experience with object-oriented design, coding, and testing patterns.
6. Experience working across different functions (e.g., sales, commodity origination/procurement, merchandising, and/or finance).
7. Brings a high-energy and passionate outlook to the job and can influence those around them.
8. Able to build a sense of trust and rapport that creates a comfortable & effective workplace.
9. Passion for innovation and a “can do” attitude.
10. Possess own transport and be willing to travel locally.
11. Fresh graduates are encouraged to apply.

Job Responsibilities:

1. Designs, develops, and implements end-to-end machine-learning models with large data sets (e.g., time series/econometrics models, linear models with regularization algorithms, ensemble classification algorithms).
2. Works with data engineers to ensure data pipelines are scalable and repeatable.
3. Collects, parses, manages, analyzes, and visualizes large sets of data.
4. Codes, tests, and documents new or modified data systems to create robust and scalable applications for data analytics.
5. Works with developers to ensure that all data solutions are consistent.
6. Develops standards and processes for integration projects and initiatives.