Job Description

• Collaborate with business and product teams to understand their analytical needs, and translate them into data requirements with clearly defined data metrics and definitions.
• Build dashboards and reports to visualize and interpret business data in supporting business decision-making.
• Perform in-depth analysis of DOKU business, present results to varied audiences, and translate insights to actionable recommendations.
• Understanding business objectives and developing a framework to achieve them, along with metrics to track their progress.
• Design and develop ETL processes to ingest data into the data warehouse, and transform data into data suitable for analytics needs.
• Defining the pre-processing or feature engineering to be done on a given dataset.
• Analyzing the ML algorithms that could be used to solve a given problem.
• Training and tuning their hyperparameters.
• Evaluate the errors of production and design strategies to overcome them.
• Deploying until its production.

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 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 monitoring.
• Experience with building data marts.
• Experience in data visualization tools - such as Google Data Studio, and Metabase - is a plus.