Job Description:
1.Growing the Organization’s data analytics and AI capability.
2.Develop and maintain a data pipeline of large-scale data indexing.
3.Engage in both exploratory analysis and predictive models to identify data trends and anomalies.
4.Explore new hypotheses, build deep learning algorithms and be responsible to maintain model quality over time.
5.Take ownership of the algorithmic structure and explain complex deep learning algorithms in layman terms to business stakeholders or tech talks.
6.Ability to set and achieve project objectives & milestones.
7.Document analytical findings for technical teams, executives, or publication.

Job Requirement：
1.Bachelor degree or above in Computer Science, Data Science, Statistics, Mathematics, or equivalent fields.
2.At least 5 years of relevant working experience in similar fields.
3.Proficient in Python and SQL languages.
4.Ability to handle text、image、data manipulation tasks such as processing and parsing.
5.Experience in using machine learning libraries such as Scikit-learn, Tensorflow, Keras or Pytorch.
6.Experience in model hyper-parameter tuning, embeddings and feature engineering.
7.Experience in natural language process (NLP), statistical modeling, network analysis, and data mining techniques.
8.Love minimal, beautiful code and neat documentation.
9.Team player, both internal between data scientist as external with business stakeholders.
10.Plus: Experience with cloud computing (AWS/GCP/Azure)、Deep Learning (RNN, LTSM, XGBoost)、Continuous deployment (CI/CD),MLOps and DevOps.