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NASA Seeks a Cryptocurrency/Blockchain Expert in a New Job L...
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NASA Seeks a Cryptocurrency/Blockchain Expert in a New Job Listing

Do you have experience in cryptocurrency and blockchain? Do you want to do something better and are unable to do some creative work due to your current job restriction?. Would you like to become a scientist in a prestigious and well-known space agency like NASA?

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NASA (National Aeronautics and Space Administration) needs a data scientist for which NASA has given an advertisement. This advertisement calls for a surprising qualification and that is the experience of cryptocurrency and blockchain. There are immense possibilities for blockchain technology in every sector including supply chain management, healthcare industry, banking sector, real estate sector, legal industry etc.

Jet Propulsion Laboratory (JPL) is a research and development facility of NASA. JPL was founded in 1936. JPL is located in 4800 Oak Grove Dr., Pasadena, California. JPL mainly works to develop robots and spacecraft for NASA. NASA is looking for a data scientist for the JPL team and the advertisement it has given for this role has a surprising point. That point is that cryptocurrency and blockchain experience will be considered plus.

Although nothing has been said about why the experience of cryptocurrency and blockchain is required to work in JPL, but speculations have come from people everywhere. “Is NASA finding a way to do business with aliens or is it going to launch ICO to fund moon base or something else?

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Cryptocurrency and blockchain experience is not the only qualification for NASA’s data scientist job. Even though NASA are looking for people with that expertise, a Bachelor degree in Engineering, Science, Computer Science, Information Systems or related discipline with 1 year experience or a master’s degree in similar discipline is needed. Your overall GPA should be 3.0 in a scale of 4.0. You would have knowledge in one or more related fields including: Big Data, cloud computing, statistics, analytics, machine learning, deep learning, programming, data bases (SQL and NoSQL), data integration, Internet of Things (IoT) and communications.

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