Info Detil :
Berpengalaman min 3 Tahun
Berakhir 10 September 2022
Skill yang dibutuhkan
- 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.
- 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 sci-kit-learn and pandas.
- Proficiency with data visualization libraries such as seaborn, matplotlib, etc.
- Proficiency with SQL and database structure.
- Proficiency with Probability and Statistics.
- Proficiency with OpenCV.
- Familiarity with at least one of the 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 communicate with various stakeholders.
- Able to demonstrate Critical Thinking.
- Experience with time series forecasting.
- Experience with model monitoring.