Computer Science jobs in Malaysia

1. Perform Business and Design Analysis.

• Must perform requirement gatherings and literature review on problem statement.
• Plan and design methodology to solving problems.
• Analyse data availability and propose to customers how to provide various datasets.
• Perform analysis of data sources availability, inform stakeholders of anticipated issues and propose how to provide those various datasets.

2. Perform Statistical, Probability and Visual Analytics.

• ETL capabilities for RDBMS and Big Data with complex joints.
• Data Exploration with Big and unstructured data.
• Data preparation and feature engineering with Python, Spark and GPGPU.
• Able to optimize and accelerate data preparation tasks and feature engineering.

3. Statistical, Probability and Visual Analytics.

• Applying statistical analysis, probability and estimation theory.
• Visualization of trends, understanding business KPI and perform competitive analysis.
• Able to visualize trends and perform competitive analysis effectively.

4. Developing Models by incorporating data enrichment.

• Use available tools not limited to NumPy, Pandas, Interactive Plots, TF/Keras, Parallel processing, text processing and using GPGPU for acceleration of tasks.
• Apply and use Deep Learning and ML Libraries in Python/Pyspark, opensource and Cloud.
• Build interactive and meaningful dashboard in Python, Cloud and Tableau.
• Complex Tuning of hyperparameter with search optimization for innovative modelling.

5. Communicating Skill.

• Ability to answer customers' questions independently and share modelling output effectively.
• Storytelling and produce presentation as self-explanatory.
• Efficient way of storytelling and producing presentation as self-explanatory with convincing capabilities.

6. Project Management.

• Able to prioritize task and able to identify potential risk in projects.
• Applying agile to work.
• Good written and reporting capabilities.
• Provide good guidance to juniors and good in managing some stakeholders.

• Degree in Data Science, Computer Science, Machine Learning/AI, Statistics, or Applied Mathematics

• Minimum 5-7 years

Strong academic qualifications, with an advanced degree (Masters or PhD) in a quantitative discipline (typically information technology, computer systems, or mathematics) and advanced software certifications.

• Extensive experience in information technology analytics infrastructure, business systems analysis, business intelligence, application design, development, testing/software QA, implementation, coding, data modeling and reporting.
• Broad based experience with rapid prototyping & production implementation on large datasets (terabytes/petabytes), being aware of efficient algorithmic design, memory and cpu usage/ scalability.
• In-depth experience developing advanced models impacting business & derived from business analytics utilizing the landscape of structured, unstructured data, transactional data, text and speech analytics.