Data Scientist

Skills You'll Gain

• Build and train machine learning models
• Perform statistical hypothesis testing and analysis
• Feature engineering and model evaluation
• Deploy machine learning models to production
• Communicate complex findings to non-technical audiences
• Work with large datasets and cloud platforms

A Day in the Life of a Data Scientist

You start your day by reviewing feedback from yesterday's model validation. Your recommendation engine is performing well, but there are edge cases to handle. You spend the morning in Jupyter Notebooks, experimenting with new features and testing different algorithms. After lunch, you meet with the product team to understand a new business problem: predicting customer churn. You scope the problem, discuss data requirements, and outline your experimental approach. By end of day, you've pulled the data from SQL, done some exploratory analysis, and set up your experiment framework. This problem will keep you engaged for the next week as you build models, iterate on features, and eventually deploy your solution to production where it will prevent thousands of customers from churning.