Job: Entry-Mid level Data Scientist
Join Prevalent Inc (prevalent.net) the leading third party risk management and cyber security company in our new Northern Virginia/Washington, DC office. We have been rapidly building up our team with OSINT and cyber threat analysts and are now recruiting for data scientists and risk analysts to join our Vendor Threat Intelligence Team. Through our technology platforms, we work with the world’s leading companies and industry groups so that our customers have the intelligence they need into their third party relationships to take appropriate risk management and security measures.
Data Scientist PD- 2-to-5 years professional experience
Prevalent is seeking an experienced candidate with 2-to-5 years of data analytics or quantitative risk management experience to support two key strategic objectives: 1) wrangling the years of vendor data we possess and correlating that with threat events to bring unique insight to our clients, our risk models, and ultimately our technology platforms; and 2) applying advanced analytics including NLP and machine learning so that we may continue to scale our monitored vendor population via an increasing emphasis on automation for collection and risk scoring.
Successful candidates will be excited to operate in a start-up environment where they need to be comfortable operating with limited guidance and are able to leverage their strong technical and analytical experiences to explore and examine data from multiple disparate data sources with the goal of discovering patters and hidden insights that our platforms will leverage to identify a vendor’s risk in terms of likelihood of experiencing a successful data breach and maintaining its general viability.
BS in CS, Computer Engineering, Systems Engineering, Data Science, Economics or a related field that has prepared you with the analytical and quantitative foundation for data analytics / science role
Experience with machine learning, data mining, statistics, or graph algorithms in a professional or equivalent academic setting
Experience with using various statistical, analytical, and visualization tools, for example, R, Perl, Python, SAS, or SPSS
Knowledge of an object–oriented language, including Java, C++, C#, or Python
Knowledge of Hadoop, MapReduce, or HDFS
Experience conducting research and performing analytics in multiple languages
· Experience in the cyber security, the information security, or third party / vendor risk space