Principal Data Scientist

Industry: Technology
Company size: 51-250
Not disclosed

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Job description

An industry-leading company scaling intelligence-driven cybersecurity is looking for a Principal Data Scientist. The candidate will join the security research and machine learning team and work closely with the threat researchers and security engineers to implement customer-facing data products, visualizations, and analytics. The company is trusted by over 1,500 public and private sector organizations and backed by top VC firms as well as individual investors. It has raised over $96 mn in funding. The role presents an excellent opportunity for those who would like to work in a fast-paced, agile development environment to create game-changing data and security products. 


Job Responsibilities:

  • Work closely with the threat researchers and security engineers to deliver scalable solutions 
  • Implement customer-facing data products, visualizations, and analytics
  • Brainstorm new data analytic techniques to identify security-related issues in mountains of data
  • Apply advanced machine learning and statistical methods to solve threats and user behavior analytic problems

Job Requirements:

  • Bachelor’s/Master’s degree in Computer Science (or equivalent experience)
  • Must have 3+ years of experience as a data scientist
  • A passion for actionable data analysis and exploration
  • Experience using statistical computer languages (Python, R) and distributed computing framework (Spark) to manipulate data and draw insights from large data sets
  • Experience in applying a wide variety of ML techniques and an intuition for the strengths and weaknesses of each at turning big data into actionable insights
  • Experience with machine learning and deep learning to model the behavior of users on corporate networks, and highlights anonymous behavior to avoid a cyberattack
  • Great problem solver and a quick learner
  • Ability to frame a problem through ill-defined requirements, identify and incorporate each piece of relevant data, plan and execute a path to the solution, and validate your results
  • Great communication skills with the ability to make informative graphs to showcase performance
  • Possesses a collaborative approach to data analysis, with the desire to share information, ideas, and an ability to see the big picture
  • A deep understanding of computer systems, networks, protocols, and information security concepts is a plus
  • A background in applied statistics, optimization theory, or operations research is nice to have
  • Comprehensive understanding of Linux, big data, and networking in modern, heterogeneous environments
  • Passionate about making the results of analysis intuitive and interactive 

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