Data Scientist (Identity Security)

Triangle Cyber is seeking a highly skilled and motivated Data Scientist to join our team for a US Federal Government contract engagement. The Data Scientist will hunt for identity-based security attacks in a large-scale network by performing anomaly detection, analyzing entity behavior, developing predictive models, and implementing data quality improvements, using a suite of advanced data platforms and analytics tools.

"Must Have" Requirements:

Must be a US citizen (this position is for a Federal Government customer)

• Must have 3+ years of experience as a data engineer/data analyst
• Must have 3+ years architecting and engineering Machine Learning/AI-based solutions to large-scale enterprise problems solving anomaly detection, entity behavior evaluation and prediction, and data quality improvement
• Must have hands-on proficient experience with data platforms and analytics tools (specifically Databricks and Zingg)
• Must have hands-on proficient experience with NoSQL, R, or Python and Spark
• Must have hands-on proficient experience with advanced data modeling, including how to make that data usable for meeting mission requirements (including entity resolution)
• Must have hands-on proficient experience implementing Extract, Transform, Load (ETL) technologies
• Must have hands-on proficient experience with data visualization packages
• Must have excellent communication skills and be able to collaborate effectively with multiple functional groups