[HCM]Data Scientist(Python, SQL ~ $1700)


Giao Hàng Nhanh (GHN)

Ho Chi Minh

Thương lượng

2018-02-23 -> 2018-02-24



  • Bachelor/Masters/PhD in Mathematics, Physics, Computer Science or other Quantitative fields
  • Understanding of statistical learning techniques (classification, clustering, etc.)
  • Excellent understanding of machine learning techniques and algorithms, such as Logistic Regression, SVM, Random Forests, Deep Learning etc
  • Great work ethic and a ‘can do’ attitude
  • Highly motivated, flexible and able to execute with minimal supervision
  • Have a research scientist mind-set, i.e., be a deep thinker, creative, persevering, smart, a self-starter, etc.
  • Excellent analytical and problem-solving skills.
  • Good at organizational, interpersonal and communication skills (Vietnamese for general, English for learning and researching).
  • Have on-hand machine learning experience in resolving realistic large scale machine learning projects.
  • Experience with common data science toolkits, such as R, Python, Spark, etc
  • Experience with SQL, statistical software packages and data visualization
  • Knowledge of database is plus; Knowledge of parallel computation is plus
  • Experience with time-series data analysis is a plus.
  • Develop machine learning model
  • Work daily with machine learning problems. For this purpose, data scientist is expected to be involved in the process of collecting, storing, processing, and analyzing data generated from our database.
  • Design and deploy machine learning models into system to support decision making, such as: Analyzing Customer Churn using Machine Learning, Dynamic pricing, location optimizing decision, marketing performance tracking and analysis, etc
  • Develop, executes and maintain forecasting models to forecast business growth and understand factors that influence performance.
  • Analysis and visualization data
  • Work closely with Tech and Business teams in gathering and mining data, producing information analysis. Translate numbers from sales figures, market research, operation, etc. into business insight and visualize it



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