Modern Technology Solutions, Inc. (MTSI) is committed to an employee-first culture and core values. They are seeking a Data Quality Intern to assist with data quality assessments, information migration, and collaboration on data quality efforts using R and Python.
Responsibilities
Be an advocate of and abide by MTSI's employee first culture and core values.
Assist with conducting assessments of data quality across various datasets, focusing on unstructured data such as word, pdf, or PowerPoint, images, and multimedia files.
Assist with information migration by leveraging R and Python to automate data extraction and transformation processes, particularly for unstructured data. This may include writing scripts to parse project files, extract relevant information, and formatting it for SharePoint.
Facilitate collaboration with team members and ensure that all changes are tracked and managed effectively using GitHub for version control of scripts and documentation.
Assist with data quality efforts by utilizing R and Python to clean, transform, and analyze unstructured data, applying techniques such as natural language processing (NLP) and text mining to extract relevant insights.
Assist with preparing reports on data quality metrics, findings, and recommendations for improvement.
Perform other duties as required.
Qualification
Required
Currently pursuing a degree in Data Science, Computer Science, Information Technology, Business, or a related field.
Proficiency in R and Python, with experience in data manipulation and analysis, particularly with unstructured data.
Experience using GitHub for version control and collaborative coding.
Strong attention to detail and analytical thinking skills.
Experience working collaboratively in a team environment and independently.
Ability to work multiple projects in parallel.
GPA of at least 3.0 on a 4.0 scale.
Ability to obtain/maintain a government security clearance.
U.S. Citizenship is required for most MTSI positions.
