Key tasks:

• Mine and analyse data from company databases to drive optimization and improvement for product development
• Transforming data science prototypes to appropriate algorithms and models
• Develop custom ML and DL models and algorithms to apply to data sets
• Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
• Coordinate with different functional teams to implement models and monitor outcomes

Requirements

Key skills:

• Bachelor or Master degree from Computer science, Data science, AI, Mathematics, Statistics and other relative disciplines
• 2+ years of experience after Bachelor degree or 0-1 years of experience after Master degree in data science, machine learning and deep learning
• Experience using Python to manipulate data and draw insights from large data sets.
• Understand ML/DL knowledge: decision trees, clustering, CNN, LSTM, etc.
• Basic knowledge of pouplar ML and DL libraries: Tensorflow/Keras (or Torch), Sklearn, Xgboost,…
• Basic understanding to Natural Language Processing and Computer Vision
• Good written and verbal communication skills for coordinating across teams

Optional skills:

• Knowledge of popular cloud infrastructure: Google Cloud …
• Popular ML knowledges: Bayesian statistical modelling, clustering, decision trees, boosting, artificial neural networks, etc.
• Computer Vision toolkits: Opencv, Yolo,….
• NLP toolkits: Spacy, NLTK, Huggingface Transformers, …