Data Scientist

gradmalaysia.com; Kuala Lumpur; On-site; MYR 200,000 - 250,000; Full time

Job summary

A data science company located in Kuala Lumpur is seeking a seasoned Data Analyst with a strong background in statistical analysis and model development. This role requires performing comprehensive business and design analysis, along with advanced statistical and visual analytics. Candidates should possess a degree in Data Science or a related field and have a minimum of 5-7 years of relevant experience, ideally with a Master's or PhD. Strong interpersonal skills for effective communication and project management are also essential.

Qualifications

• Minimum 5-7 years of experience is required.
• Strong academic qualifications with advanced degree in a quantitative field.
• Extensive experience in business systems analysis and data modeling.

Responsibilities

• Perform Business and Design Analysis to address problem statements.
• Conduct Statistical, Probability and Visual Analytics.
• Develop models using various tools and methodologies.

Skills

Business and Design Analysis

Statistical Analysis

Data Visualization

Data Preparation

Deep Learning

Machine Learning Libraries

Communication Skills

Project Management

Education

Degree in Data Science or related field

Masters or PhD in a quantitative discipline

Tools

Python

Spark

Tableau

NumPy

Pandas

Job description

Duties and Responsibilities

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.

Qualification

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

Years of Experience

• Minimum 5-7 years

Specific Skills/Knowledge and Certification Required

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.