Data curiosity. Many of the problems we face are reduced to data problems. Must be proficient with the analysis and processing of very large datasets
Determination to solve problems through technical and organizational hurdles.
Interest in threat detection/identification in an arms race situation. Attackers are constantly trying to bypass our systems. We need to patch vulnerabilities in our existing detection methods that attackers are exploiting as well as come up with new methods and techniques.
Customer focus: this is both a product team as well as a research team. We need to be willing and able to work with the codebase and provide value to our customers.
Ability to execute. What we want is a demonstrated ability to get things done and work through impediments when they arise.
Staying informed about developments in Data Science, statistics, and related fields. The ideal candidate can read and implement the ideas of research papers.
Requirements & Skills:
Advanced degree in Data Science, Data Analysis, Statistics, Computer Science, or equivalent experience
Extensive experience performing data analysis
Demonstrated experience with software experience fundamentals: command line, version control, pull request review, software maintenance, etc.
Proficiency in analytical programming in Python, R, or Julia (Python is preferred)
In-depth knowledge of data processing and analysis libraries such as Pandas or R’s tidyverse
Data visualization skills
In-depth, experienced understanding of SQL
Familiar with machine learning principles and techniques
Working knowledge of data structures and algorithms.
Ability to communicate insights in layman’s terms to stakeholders to inform product decisions
