Salary
💰 $127,000 - $160,000 per year
Tech Stack
AWSCloudCyber SecurityDjangoElasticSearchETLFlaskKafkaMongoDBNeo4jPythonRabbitMQ
About the role
- 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 the Product team and other developers
- Collaborate with Data Scientists, Data Engineers, and business leaders to identify and scope technical solutions
Requirements
- Master’s degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience
- 5+ years of Python programming
- Minimum of 7 years' experience in Data Science
- 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
- Experience with ML approaches and productizing ML models
- Experience developing REST APIs with Python frameworks (e.g. Flask, Django, FastAPI)
- Experience architecting and delivering production-grade applications and ETL/ELT pipelines
- Applying statistical techniques to draw accurate, impactful conclusions
- Leadership experience, including presenting information to stakeholders with varying technical expertise and engaging with technical leaders across geographies and divisions
- Excellent written & verbal communication when collaborating across locations and timezones, designing technical approaches, and writing documentation
- Eagerness to continue learning and teaching new skills to team members
- Proven success in architecting, leading, and delivering high-impact projects
- Efficient & accurate problem solving skills, including the ability to debug both software and data
- Excellent attention to detail & ability to work independently while delivering high-quality results