Recorded Future is looking to improve the Security Intelligence Graph by driving improvements in data convergence within the defender space.
Requirements
5+ years of Python programming
3+ years of experience with some/all of the following: Message buses (e.g. Kafka, RabbitMQ), MongoDB, graph databases like AWS Neptune/Neo4j, cloud computing tools, and ElasticSearch
3+ years of experience with some/all of the following: ML approaches and productizing ML models
3+ years of experience with some/all of the following: Developing REST APIs with Python frameworks (e.g. Flask, Django, FastAPI)
3+ years of experience with some/all of the following: Architecting and delivering production-grade applications and ETL/ELT pipelines
3+ years of experience with some/all of the following: Applying statistical techniques to draw accurate, impactful conclusions
Proven success in architecting, leading, and delivering high-impact projects
Responsibilities
Identify, scope, and own technical solutions necessary to achieve data convergence within the defender space of the Security Intelligence Graph
Align, analyze, and ingest asset maps into the Security Intelligence Graph
Develop, productize, monitor, and maintain data pipelines at scale
Build tools and APIs to facilitate access to data and analytics developed from the intelligence graph
Analyze and explain patterns in data to drive business-critical decisions
Create technical project plans and drive the successful execution of projects, with input from our Product team and other developers on your team
Collaborate with Data Scientists, Data Engineers, and business leaders to identify and scope technical solutions
Other
Master's degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience
a minimum of 7 years' experience in Data Science
Ability to present information to stakeholders with varying levels of technical expertise
Experience engaging with technical leaders across geographies and divisions/companies
Excellent written & verbal communication when collaborating with colleagues across various locations and timezones, designing technical approaches, and writing documentation
