Data Scientist at Sift Security

San Francisco, CA, United States of America

Posted on Apr 11 2015 (about 9 years ago)

Key Responsibilities

  • Identify and implement novel detection algorithms that work efficiently at large scale
  • Leverage valuable data from our numerous large enterprise pilot customers
  • Work with leading big data technologies such as Kafka, Spark and Graph Analytics

General Requirements

  • Work in collaborative teams in an Agile environment focused on the full life-cycle of software
  • Build new products from the ground up, with high performance, scalability and reliability
  • Experience and passion for creating efficient, maintainable, robust, well tested code
  • Experience in enterprise software, and strong interest in information security preferred


  • MS or PhD in computer science, Mathematics or similar field
  • Experience creating useful and novel algorithms that scale, leveraging big data technologies
  • Experience and/or research focus on information security is preferred


Python, Big Data, Graph Database, Spark


Menlo Park


$120K – $150K Salary 0.5% – 2.0% Equity


Sift Security is a stealth mode enterprise security startup that is leveraging big data and advanced analytics to enable enterprises to efficiently identify, prioritize and investigate risks inside their enterprise.


Sift Security is a stealth mode security startup that is leveraging big data and advanced analytics to enable enterprises to rapidly discover, prioritize and investigate security events. We are an early stage company with strong team of security experts, distributed systems experts, and data scientists working in a flat, collaborative environment. This is a unique opportunity to be part of a founding technology team, helping define and shape innovative solutions to one of the most interesting and challenging problems facing modern enterprises.


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