Perform statistical analysis on multiple datasets and build scalable analytics solutions
Extract features, build and optimize classifiers using various data models and machine learning techniques
Identify data which is available and relevant, including internal and external data sources, and collaborates with subject matter experts to select the most optimized approach
Apply advanced statistical and predictive models to build, maintain and improve results in order to support business forecasts and decisions
Generate and validate hypotheses with various testing methods (A / B, multi-variate) to measure the impact on the business
Requirements
Degree in Computer Science, Data Science, Mathematics, Statistics or equivalent
At least 2 years’ experience in data science, machine learning or data engineering
Familiar with data visualization tools like DataStudios / PowerBI; and Google cloud platform (GCP), Docker or Kubernetes
Exposure in statistics concepts, such as distributions, hypothesis testing and regression is beneficial
Knowledge of machine learning techniques, including clustering, decision trees, neural networks and their real-world advantages / drawbacks is preferred
Fluent in Cantonese, English and Mandarin
Strong communication skills and analytical skills
A good team player, self-motivated and detail-oriented with strong business sense
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