Valiant Solutions is seeking a Data Science & Machine Learning Engineer to join their cybersecurity team to manage a large Cybersecurity big data platform to detect threats and protect critical government systems.
Requirements
Experience working with business intelligence tools such as PowerBI or Tableau
Experience preferred with SIEM tools such as Elastic Stack or Splunk
Experience preparing datasets for Machine Learning and generating ML models
Experience with big data technologies such as Hadoop, Kafka, or Spark
Advanced ability to perform exploratory data analysis
Demonstrated knowledge of security concepts and best security practices is preferred
Responsibilities
Lead analysis efforts in petabyte-scale clusters of security data
Prepare data streams for Machine Learning use cases, writing parsing logic, and indexing data as needed
Developing custom Machine Learning models using AWS services (e.g. Sage Maker) or equivalent open-source tools, and developing ML rules using COTS products
Developing data visualizations using a data visualization tool and learning new Kibana visualization capabilities such as Vega
Collaborating with Cybersecurity analysts and other developers to solve threat monitoring problems and improve our client’s security posture
Developing DSML strategy and procedure to detect anomalies in all layers of a large internet-facing application
Developing and configuring anomaly alerting logic
Other
5 years of experience in Data Science
2+ years of experience developing using Python
Exceptional technical writing skills
Ability to communicate complex data in a simple, actionable way
Ability to visualize data in the most effective way possible for a given project
