Data Scientist

HURELAX PTE. LTD.; Pasir Panjang; On-site; MYR 50,000 - 70,000; Full time

Job summary

A data-driven technology firm located in Malaysia is seeking a Data Scientist to participate in A/B experiment design and develop data analysis systems. The ideal candidate will hold a Bachelor's degree in a relevant field and have solid experience in data analysis, SQL, and Python. This role offers the opportunity to work on cutting-edge experimental methods and product capabilities.

Qualifications

• Bachelor's degree in a relevant STEM or business field is preferred.
• Strong interest in causal inference and experimental science.
• More than 2 years of experience in data analysis or machine learning projects preferred.

Responsibilities

• Participate in the design of A/B experiments and scientific evaluation mechanisms.
• Develop A/B testing systems, attribution systems, and anomaly detection systems.
• Support and guide experiment analysis and other data analysis tasks.

Skills

Statistical analysis

Data visualization

SQL

Python

Experimental design

Causal inference

Education

Bachelor's degree or above in statistics, applied mathematics, econometrics, operations research, computer science, or related fields

Tools

Hive

Hadoop

Job description

Job Responsibilities

• Participate in the design of A/B experiments and scientific evaluation mechanisms to guide product and strategy decisions in various business scenarios and enable rapid business iteration.
• Deeply involved in the underlying mechanism development of A/B testing systems, attribution systems, anomaly detection systems, etc., and provide professional data science support.
• Gain in-depth understanding of business needs and provide support and guidance for experiment analysis, anomaly attribution, and other data analysis tasks.
• Explore new experimental methods and analysis techniques using causal analysis, machine learning, and other technical means to continuously improve product capabilities.

Job Requirements

1. Bachelor\'s degree or above in statistics, applied mathematics, econometrics, operations research, computer science, or related STEM or business fields (preferred);
2. Solid foundation in statistics, with a strong interest and research spirit in causal inference and experimental science;
3. Familiar with Hive, Hadoop, big data computing frameworks, proficient in SQL and Python, with more than 2 years of experience in data analysis, data mining, or machine learning projects preferred;
4. Good foundation in statistics, probability theory, and experimental design; strong data analysis and visualization skills; experience in A/B testing and attribution analysis is preferred.