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Data Analytics Intern

Johnson Space Center (JSC) - Internship
In pursuit of its exploration mission, NASA has generated, collected and compiled a vast amount of data through the eyes of satellites, telescopes, robots, and the cameras of astronauts that has helped us better understand Earth, other planets, and the depths of space. This data - from enormous technical and scientific datasets, to records, images and personal stories - is one of the Agency's most valuable assets and must be understood and managed accordingly. The Agency's future mission success requires effective and scalable methods to access, manage and interpret, and leverage this data. Our team is in the business of ushering in this future state. Our team is a dynamic, fast-paced NASA team working on mission critical challenges that combine expertise in data, science, experimentation and discovery. You will work on data analytics, data science, and data engineering projects to enable data-driven decisions and insights. We are looking for data science candidates that have the ability to formulate problems, prototype solutions, and to analyze results and are excited about shaping the future of NASA.
Internship Facts
Session(s): Spring 2018
Available slots: 1
Academic Level(s): College - Freshman
College - Sophomore
College - Junior
College - Senior
Academic Discipline(s): Technology - Information Technology
Technology - Software Eng.
Technology - Systems Eng./Design
Technology - Comp Science
Technology - General
NASA Center/Facility Name: Johnson Space Center (JSC)
Building Number/Name & Room Number B57 / 101
Work Environment Other
Expected outcome: WHAT YOU'LL DO - Munge and analyze data - Develop algorithms and write code to perform data analytics and modeling - Experiment with different software packages and visualization tools - Provide technical assistance on data-related deliverables - Create and deliver reports, documentation, and presentations of project work and results - Work with a distributed team in a digital-first and highly-collaborative environment - Explain and communicate your methodologies to team members and clients
Student's special skills: Strong analytical and statistical/mathematical skills (e.g., hypothesis testing, regressions). Strong ability to communicate methodology and results to audiences of different technical levels, including the product and leadership teams. Demonstrated ability to quickly learn new libraries, modules, programs, and other skills necessary to complete a task. Experience with organizing, cleaning, and analyzing large quantities of data Comfortable working in a fast-paced, entrepreneurial environment Experience with software or web development and database management preferred. Experience using and learning software for statistics, modeling, or other analytical tasks, such as R, SAS, or Python is preferred. Experience with data analytics software and visualization tools such as Spotfire, Tableau, or Microstrategy, is preferred.