Description

You will own data cleaning, natural language processing, and database integrity to ensure accurate security alerting and licensing notifications.

Responsibilities

• Clean and unify database records by resolving naming convention discrepancies and incorrect links.
• Extract and analyze unstructured data from secured APIs using Python.
• Develop and implement Python-based solutions to automate and speed up data cleaning workflows.
• Research and present findings to leadership to address data management issues and process improvements.
• Maintain database metadata and ensure strict adherence to data governance and conventions.

Required Skills

• 3+ years of hands-on experience with Python and the Pandas module for data analysis.
• 3+ years of experience working with APIs in Python, including managing unstructured data.
• Practical experience using secured, credentialed, or tokenized APIs.
• Intermediate knowledge of regex and fuzzy matching for string similarity mapping and NLP tasks.
• Experience using command-line Linux.
• Strong research skills with the ability to explain complex thought processes and data findings.

Preferred Skills

• Bachelor's degree in science, engineering, statistics, mathematics, economics, or a related field.
• Experience with MongoDB or other NoSQL databases.
• General knowledge of Linux distributions and common software packages.

Key Skills

Education

Bachelor's degree