Intern - Atmospheric Data Quality

Amentum•Huntsville, AL

4d•Onsite

About The Position

As an Amentum Space Exploration Division (ASED) intern, you will work alongside engineers and scientists on hardware development, payload integration & operations, laboratory & test operations, modeling & simulation, space environments, scientific research and propulsion systems for programs like Human Landing Systems, Space Launch Systems and the International Space Station! OVERVIEW: As an Atmospheric Data Quality Intern, the candidate will develop a capability to improve the efficiency of meteorological data quality control (QC) processes that have been established by the Terrestrial and Planetary Environments (T&PE) Team of the Natural Environments Branch, located at Marshall Space Flight Center (MSFC). An important part of the T&PE’s mission is to provide robust analyses of terrestrial environment parameters for the design and operation of space vehicles using climatologies. In addition, the T&PE Team is looking to update existing QC algorithms using machine learning (ML) to reduce the level of effort needed to maintain and QC these climatologies. Therefore, the candidate will help develop a user interface (UI) to be used to generate training samples of meteorological data received from launch sites, in preparation to implement ML algorithms. It is expected that the candidate will provide 400 hours of support. Flexibility exists in determining the number of work hours per week. Duties will include the following: 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. Expectations included in the ASED Internship: You are expected to have a valid driver’s license, have access to an automobile, and be able to drive yourself to work locations. You will be expected to attend MSFC facility scheduled tours, Technical Fellow talks, luncheons, and training sessions in addition to your work. We highly encourage you to participate in activities outside of work with your fellow interns. These activities will be scheduled, with your input, by your social coordinators and will be beneficial in forming a cohesive group and lasting friendships. Must have completed their junior year towards receiving a Bachelor of Science degree from an ABET accredited institution. Having a background in computer science, or a background in atmospheric science with an interest in ML, is desired. 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. The successful candidate also must: 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.

Requirements

You are expected to have a valid driver’s license, have access to an automobile, and be able to drive yourself to work locations.
Must have completed their junior year towards receiving a Bachelor of Science degree from an ABET accredited institution.
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.

Nice To Haves

Having a background in computer science, or a background in atmospheric science with an interest in ML, is desired.

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.