Requirements:

• Bachelor's degree in a quantitative field (i.e. Mathematics, Statistics, Computer Science, Machine learning)
• Minimum 3 years of experience working in the Data Science/Analytics field. Fresh graduates are welcome.
• Proficiency with a Deep Learning Framework such as TensorFlow or Keras
• Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
• Proficiency with data visualization libraries such as seaborn, matplotlib, etc.
• Proficiency with SQL and database structure
• Proficiency with Probability and Statistic
• Proficiency with OpenCV
• Familiarity with at least one of Python web frameworks (Flask, Django, etc.)
• Familiarity with Linux
• Familiarity with Cloud Platforms such as Google Cloud Platform and Alicloud
• Familiarity with CI/CD
• Ability to collaborate and communication with various stakeholder
• Able to demonstrate Critical Thinking
• Experience with time series forecasting
• Experience with model monitoring

Job Desc:

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
• Analyzing the ML algorithms that could be used to solve a given problem
• Exploring and visualizing data to gain an understanding of it
• Identifying differences in data distribution that could affect performance when deploying the model in the real world
• Verifying data quality, and/or ensuring it via data cleaning
• Supervising the data acquisition process if more data is needed
• Defining the preprocessing or feature engineering to be done on a given dataset
• Defining validation strategies
• Training models and tuning their hyperparameters
• Analyzing the errors of the model and designing strategies to overcome them
• Deploying models to production