Intern - Atmospheric Data Quality

Amentum•Huntsville, AL

5d•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.

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.
You will be expected to attend MSFC facility scheduled tours, Technical Fellow talks, luncheons, and training sessions in addition to your work.
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.
Requires the ability to provide clear, concise, accurate and timely communication, both verbally and in writing (100%).
Requires ability to interact professionally with co-workers, management, and client (100%).
Sitting for extended periods at a desk to develop capabilities, write reports, and perform engineering tasks (70%).
Sitting for extended periods in meetings with peers, management, and with our client at NASA facilities to discuss technical issues (20%).
Using stairs or elevators for access between floors and multiple buildings at NASA and Amentum facilities (10%).
Normal workdays are from 7:30 a.m. to 4:30 p.m., Monday through Friday.
Regular attendance is a necessity and adequate arrangements for delegating duties during absences are required.
The ability to work independently with minimal supervision, to make rational decisions, and to exercise good judgment is essential (100%).
Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others.
Proof of U.S. Citizenship is required.

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.