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Position: Cyber Machine Learning Engineer
Institution: Booz Allen Hamilton Inc.
Location: Washington, United States
Duties: We have an opportunity for you to use your analytical skills to improve the public and private sector cybersecurity automation. You’ll work closely with your customer to understand their questions and needs and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in both the public and private sectors
Requirements: Bachelor's degree; 4+ years of experience with machine learning engineering, data research, or data engineering; Experience with data-oriented tasks for cybersecurity or anti-fraud solutioning, including developing engineering analysis, machine learning algorithms, data models, or architecture strategy for cyber or fraud defense purposes; Experience with object-oriented programming languages, including C++, Java, Scala, or Python
   
Text: Cyber Machine Learning Engineer We have an opportunity for you to use your analytical skills to improve the public and private sector cybersecurity automation. You’ll work closely with your customer to understand their questions and needs and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in both the public and private sectors Bachelor's degree; 4+ years of experience with machine learning engineering, data research, or data engineering; Experience with data-oriented tasks for cybersecurity or anti-fraud solutioning, including developing engineering analysis, machine learning algorithms, data models, or architecture strategy for cyber or fraud defense purposes; Experience with object-oriented programming languages, including C++, Java, Scala, or Python
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