Role Overview
This position involves participating in data science algorithm development, data exploration, feature construction, model training, and evaluation. The role requires in-depth analysis of customer data, insurance, asset management, medical, and care data to extract valuable information and discover patterns and trends.
What You Will Do
The responsibilities include participating in data science algorithm development, data exploration, feature construction, model training, and evaluation, as well as performing in-depth analysis of customer data and extracting valuable information from massive and complex data.
Why It Might Be a Fit
The ideal candidate will have a solid data science theoretical foundation, data analysis, and predictive modeling experience, with good data analysis, abstract understanding ability, and strong data-driven value realization ability.
Requirements
- Bachelor’s degree or above
- Familiar with basic machine learning, causal inference, and data mining techniques
- Good data analysis, abstract understanding ability, and strong data-driven value realization ability
To apply for this job please visit linkedin.com.
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