The SnowPro® Advanced: Data Scientist Certification exam will test advanced knowledge and skills used to apply comprehensive data science principles, tools, and methodologies using Snowflake. This certification will test the ability to:
- Outline data science concepts
- Implement Snowflake data science best practices
- Prepare data and feature engineering in Snowflake
- Train and use machine learning models
- Use data visualization to present a business case (e.g., model explainability)
- Implement model lifecycle management
SNOWPRO ADVANCED: DATA SCIENTIST CANDIDATE
2+ years of practical data science experience with Snowflake, in an enterprise environment. In addition, successful candidates may have:
- A statistical, mathematical, or science education (or equivalent work experience)
- Background working with one or more of the following programming languages (e.g., Python, R, SQL, PySpark, etc.)
- Experience modeling and using machine learning platforms (e.g., SageMaker, Azure Machine Learning, GCP AI platform, AutoML tools, etc.)
- An understanding of various open source and commercial frameworks and libraries (e.g., scikit-learn, TensorFlow, etc. )
- Experience preparing, cleaning, and transforming data sets from multiple sources
- Experience creating features for machine learning training
- Experience validating and interpreting models
- Experience putting a model into production and monitoring the model in production
Target Audience:
- Data Scientists
- AI/ML Engineers
