The Mid-level Data Scientist will work on a data science team at NASIC, focusing on data cleaning, maintaining production dashboards, and implementing automation routines. Responsibilities include writing ETL scripts, developing data visualization tools, ensuring data compliance with governance standards, and collaborating in Agile sprints. The role requires a strong foundation in data manipulation and coding, particularly in SQL and Python.
See how your résumé matches this role — and tailor it from what actually gets interviews.