Data Scientist

Hurelax Pte Ltd; City Of London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading technology company in the UK is seeking a skilled data analyst to design A/B experiments and provide insights into product decisions. The ideal candidate should hold a relevant degree and have a robust foundation in statistics and data analysis, along with proficiency in SQL and Python. Experience in A/B testing and data mining is highly preferred. This role offers opportunities to enhance product capabilities through innovative analysis methods.

Qualifications

• Bachelor's degree or above in statistics, applied mathematics, econometrics, operations research, or computer science.
• Strong foundation in statistics and interest in causal inference.
• Experience with data analysis, data mining, or machine learning projects.

Responsibilities

• Participate in A/B experiment design and evaluation.
• Develop A/B testing systems and provide data science support.
• Support experiment analysis and anomaly attribution.

Skills

Statistical analysis

Causal inference

Data analysis

SQL

Python

Data visualization

Education

Bachelor's degree in relevant fields

Tools

Hadoop

Hive

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.