Cybersecurity Data Scientist

Booz Allen HamiltonArlington, VA
4d

About The Position

Cybersecurity Data Scientist The Opportunity: As an analytics professional, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your analytics, data science, and machine learning knowledge and expertise, coupled with an original approach to your work, will help clients and stakeholders make sense of their data and encourage actionable results. We’re looking for someone like you to steer complex data exploration and analytics projects through your experience with algorithms, data mining, and analytic engineering. As an advanced data scientist on our National Cyber team, you will support the research and development of new cyber analytic capabilities that will help the U.S. protect and defend its networks and critical information systems. Your work will contribute to the knowledge of how cyber-attacks work, how vulnerabilities are exploited, and the way hostile cyber actors operate. Utilize your skills to help experiment and prototype future cyber capabilities for implementation at a large scale. Your exceptional skill set will create useful and actionable insight for the customer through the development of analytic solutions for analytic use cases developed during the performance of this project. You will work closely with the Analytics Research team to identify platform enhancements that support forward-looking analytics under consideration. The ideal candidate has extensive knowledge of a wide variety of systems and networks to include high-volume and high-availability systems. You are focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of the analysis. This is an opportunity to contribute to an important project from its beginning, working with leading-edge and emerging technologies. Join us. The world can’t wait.

Requirements

  • 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • 2+ years of experience with statistical and general-purpose programming languages for data analysis
  • Experience working with tools, techniques, and processes used by cyber threat actors to conduct cyber-attacks
  • Experience with the Databricks intelligence platform
  • Knowledge of machine learning, artificial intelligence, or Natural Language Processing
  • Secret clearance
  • Bachelor’s degree

Nice To Haves

  • Experience developing analytic tools, processes, and governance for storing, modeling, capturing, and delivering data to the client’s enterprise
  • Experience with computational notebook software such as Zeppelin or Jupyter
  • Experience with the application of visual analytics to computational analytics results
  • Experience with database querying such as SQL
  • Amazon Web Services (AWS) Certified Cloud Practitioner Certification
  • CompTIA Security+ Cybersecurity Certification

Responsibilities

  • Support the research and development of new cyber analytic capabilities that will help the U.S. protect and defend its networks and critical information systems.
  • Contribute to the knowledge of how cyber-attacks work, how vulnerabilities are exploited, and the way hostile cyber actors operate.
  • Experiment and prototype future cyber capabilities for implementation at a large scale.
  • Create useful and actionable insight for the customer through the development of analytic solutions for analytic use cases developed during the performance of this project.
  • Work closely with the Analytics Research team to identify platform enhancements that support forward-looking analytics under consideration.

Benefits

  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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