Data Scientist

HURELAX PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A tech company in Singapore seeks a Data Scientist to design A/B experiments and provide insights through data analysis. Ideal candidates will have a strong statistical background, proficiency in SQL and Python, and experience with A/B testing. This role offers opportunities to impact business strategies through rigorous analysis and innovative methods.

Qualifications

• Bachelor's degree in a relevant field is preferred.
• More than 2 years of experience in data analysis or machine learning projects preferred.
• Experience in A/B testing and attribution analysis is a plus.

Responsibilities

• Design A/B experiments and evaluation mechanisms for product strategy decisions.
• Develop mechanisms for A/B testing, anomaly detection systems.
• Analyze business needs and guide experiment analysis and anomaly attribution.
• Explore new experimental methods to improve product capabilities.

Skills

SQL

Python

Statistical analysis

Data visualization

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:

1. 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;
2. Deeply involved in the underlying mechanism development of A/B testing systems, attribution systems, anomaly detection systems, etc., and provide professional data science support;
3. Gain in-depth understanding of business needs and provide support and guidance for experiment analysis, anomaly attribution, and other data analysis tasks;
4. 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.