JOB DESCRIPTION

The job will be at the junction between Data Science and Data Engineering. You will work on interesting cross disciplinary projects and diversified problems, related to NLP, Machine Learning, AI, Smart City, etc. You’ll be building and optimizing data algorithms, pipeline and framework responsive to the input of our Domain Expert, while having the freedom to explore new techniques to tackle the problems at hand.

JOB RESPONSIBILITY

• Collect, pre-process and clean large amounts of structured and unstructured data not limited to text, webpages, databases, time series, geospatial data, images, etc.
• Extract useful information such as NER, POI, topics and subjects by NLP, deep learning, pattern recognition and others
• Build predictive models by various supervised and supervised machine-learning algorithms and ensemble models.
• Identify the business problem with clear objectives, and propose feasible solutions and strategies
• Demonstrate and present information by using correct data visualization techniques for different use cases
• Collaborate with engineering and product development teams
• Learn fast or keep updated to the most advanced tools for solve different problems in related domains NLP, AI, OR.

JOB REQUIREMENT

• Bachelor of Computer Science or equivalent
• Fresh graduate is welcome to apply
• Self-motivated, strong learning capabilities and willing to work in various domains
• Experienced using Python programming for data analytics, e.g. numpy, pandas
• Knowledge of a variety of machine learning, deep learn and NLP techniques, e.g., Sklearn, Tensorflow, Keras, Spacy and NLTK
• Cross disciplinary background Computer Science and Industrial Engineering (Operations Research)
• Basic understanding of mobile web services and cloud architect
• Plus points if experienced in the following tools:
• OR-Tools, Scrapy, Flask, Pymongo, Geopandas, D3, Spark