Data Science Student

Responsibilities

• Gain proficiency in exploratory data analysis, perform it, and present insights.
• Prepare data sets for visualization and machine learning modeling.
• Train machine learning systems using data annotation and benchmarking techniques.
• Help your colleagues assess AI/ML model performance and propose paths for potential improvement.
• Prepare data visualizations using industry-leading tools to summarize results for stakeholders.
• Document your results - tell the story of the work, the successes, and the lessons-learned for posterity.
• Keep an open mind, in order to utilize your unique skills and your determination when other opportunities arise.

This position has a twist . Contingent on successful early work, the team member will have a chance to build their portfolio through a capstone project. For the final two months, a portion of their time will be focused on a design-focus...