Skill
Data Wrangling
Data Science, Analytics and AI/ML
Data wrangling, also called data munging, is the process of cleaning, restructuring, and enriching raw data into a usable format for analysis. Data analysts and scientists spend a significant portion of their time wrangling data—handling missing values, correcting inconsistent formatting, merging datasets, and removing duplicates—often using tools like Python's pandas, R, or spreadsheet software. It is a critical but often underappreciated step that precedes meaningful analysis or modeling.
Open roles requiring Data Wrangling (1)
External Contractor - Mentor role for Data Product Manager track
Udacity
Contract · Remote
Mentor learners through a virtual Data Product Manager Nanodegree program, offering weekly office hours and forum support while helping students master product management frameworks, data analysis, and statistical concepts. This suits experienced data professionals who want flexible part-time work sharing technical knowledge with an international cohort.
Listed on Udacity’s careers site · Apply there ↗
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