SnowPro® Advanced: Data Scientist (DSA-C02)

On March 3, 2025, Snowflake will be releasing a new version of the SnowPro Advanced: Data Scientist Certification Exam, version DSA-C03. To learn more, read the transition FAQs here.

SNOWPRO® ADVANCED: DATA SCIENTIST OVERVIEW

The SnowPro® Advanced: Data Scientist Certification 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
• •Experience presenting data using visualization tools

Target Audience:

• •Data Scientists
• •AI/ML Engineers