Data Scientist Senior-Level 117-001

Senior Data Scientist supports NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned. Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle. Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government. Enhance technical solutions to problems related to intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. Conduct extensive collections and analytic modeling, data processing, and data mining. Conduct gap analysis on existing technologies and processes. Provide communication to customers on the progress of projects, processes, and emerging technologies as they become available. Clearly communicate data-driven findings and automation to technical and non-technical audiences. Design, integrate, and maintain Bayesian Belief Network (BBN) processes that utilize automation tools or scripts to drive predictive, activity-based automated collection. Conduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and technology. Train and integrate new tools, processes, and capabilities to be used in collection orchestration. Provide support for emerging requirements as assigned by the Government.

Education and Experience

Required:

• Bachelor's degree and 7+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining with Python and SQL
• 7+ years of experience with statistical and general-purpose programming languages for data analysis
• Experience with code repositories such as GitLab
• Experience with Python geospatial packages such as GeoPandas and Shapely
• Ability to independently complete technical projects with little to no oversight

Desired:

• Master's degree and 5+ years of experience with Python for data analysis
• Experience with Grafana, Databricks, or JEMA
• Experience with HTML, JavaScript, and CSS
• Experience with Syntasa
• Experience analyzing geospatially enabled data and deploying AI tools into operational software
• Knowledge of GEOINT collection and associated systems
• Ability to learn new technologies and adapt to dynamic mission needs

Security Clearance:

• Active TS/SCI and the willingness to sit for a polygraph, if needed

IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.