TENICA Global Solutions · 2 months ago
Data Scientist mid-level TS/SCI CI poly
Tenica and Associates LLC is looking to hire a Data Scientist with an active TS/SCI and CI poly. The role involves utilizing analytical, statistical, and programming skills to analyze large cybersecurity data sets and develop data-driven solutions while collaborating with Risk Management teams.
ConsultingCyber SecurityProfessional Services
Responsibilities
Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large cybersecurity data sets
Develop data-driven solutions
Analyze data sets found in the customer's vulnerability scanning, auditing, authorization, and configuration management tools
Import, transform, analyze, and visualize data and report actionable insights to the customer (e.g., Tableau)
Provide analysis and graphical presentations of collected metrics for IA compliance status reporting
Support and evolve legacy visualization and situational awareness tools based on Microsoft Excel into modern data-driven solutions
Collaborate with Risk Management teams to develop means to integrate, automate, and provide dynamic visualization capabilities for risk management efforts
Qualification
Required
Requires 8 to 10 years with BS/BA or 6 to 8 years with MS/MA or 3 to 5 years with Ph.D
Must possess and be able to maintain a TS/SCI with Poly
Able to support customer's core hours (0900-1500; Mon – Fri)
Must possess DoD 8570 certification in IAT or IAM or able to attain within 6 months of contract start
Deep understanding of statistics and analysis
Skilled in artificial intelligence and machine learning (e.g., SageMaker)
Ability to code in multiple languages, including Python
Knowledge of databases, data structures, and data architectures
Excellent communications skills – both verbal and non-verbal
Office Automation Skills – MS Office, MS Project, Visio
Self-starter requiring limited direction and supervision
Strong attention to detail
Ability to work in a team environment
Experience with data visualization tools (e.g., Tableau, Infogram, Chartbloks)
Experience with data transformation (structured data format/schema transformation) using common programming tools (e.g., Python, JSON, etc.)
Experience applying statistical analysis to large data sets