Intern - Atmospheric Data Quality at Amentum in US-AL-Huntsville

Summary: Amentum is a company focused on space exploration, and they are seeking an Atmospheric Data Quality Intern to assist in improving meteorological data quality control processes. The role involves developing a user interface for data cleaning and updating existing algorithms using machine learning to support the Terrestrial and Planetary Environments Team. Responsibilities: - Evaluate and recommend the most appropriate technology stack and deployment model (web-based, desktop UI, or hybrid approach) - Design and develop a data cleaning UI capable of ingesting atmospheric datasets in various formats - Implement an intuitive UI that enables end users to perform data cleaning operations without extensive technical expertise - Ensure the UI produces clean, validated output datasets suitable for developing machine learning models - Develop cleaning methodologies by discussing application needs with the NASA Customer - Present results to the NASA customer Required Qualifications: - Must have completed their junior year towards receiving a Bachelor of Science degree from an ABET accredited institution - Must have experience with strong programming skills in languages appropriate for data processing and application development (e.g., Python, JavaScript, or similar) - Experience with data manipulation utilizing programming languages - Software Development: Strong software engineering practices including version control (e.g., Git), testing, and documentation - Experience building intuitive UIs (web, desktop, or other appropriate platforms) - Accessing data stored remotely via virtual machines and multiple data servers - Linux operating systems - Understand data quality issues and cleaning methodologies - Have familiarity with data preprocessing for ML applications - Have knowledge of common data formats and storage methodologies - Exhibit strong technical writing and presentation skills to present data to internal and external customers - Have strong customer relations skills - Possess the ability to multi-task and transition between quick turnaround assignments - Show initiative and be proactive to make connections and build relationships with key players on the tasks - Demonstrate the capability to plan and perform analyses independently and as a team - Proof of U.S. Citizenship is required Preferred Qualifications: - Having a background in computer science, or a background in atmospheric science with an interest in ML, is desired Required Skills: Python, Machine Learning, Data Cleaning, User Interface Development Important Skills: Data Manipulation, Linux, Version Control Nice-to-Have Skills: Customer Relations, Multi-tasking Benefits: Health, dental, and vision insurance, Paid time off and holidays, Retirement benefits (including 401(k) matching), Educational reimbursement, Parental leave, Employee stock purchase plan, Tax-saving options, Disability and life insurance, Pet insurance