Data Scientist

You extract insights from data using statistics, machine learning, and programming — which sounds glamorous until you realize 80% of the job is cleaning messy data, 15% is explaining your findings to people who wanted a different answer, and 5% is the actual cool modeling stuff. You'll write Python, build predictive models, and create visualizations that executives will squint at before asking 'but what does it mean?'

Learn the skills

Courses and certifications to get you job-ready

What you'll actually do

• 01Clean and wrangle datasets that arrive in formats ranging from 'mostly okay' to 'crime against data'
• 02Build machine learning models and then explain to stakeholders why the model can't predict the future perfectly
• 03Create data visualizations that tell a story even when the data is whispering conflicting stories
• 04Present findings to executives and translate 'the p-value is 0.03' into 'yes, this actually means something'
• 05Collaborate with engineers to deploy models into production where they immediately perform worse than in your notebook
• 06Stay current on an ML landscape that changes faster than you can read the papers