Required Skills & Experience:
- 5+ years of related experience in data analysis is required.
- Machine Learning, esp. Classification
- Data Cleaning, Mining and Visualization
- Agent-Based Modeling
- Entity Resolution
- Mathematical Modeling and Statistics
- Languages: R, Python, SQL, VBA
- Software: Tableau, SAS, MATLAB, Excel, Access
- HDFS, Hue, Hive, Impala
- Experience working with noisy intelligence and operational data sets from multiple disparate sources to include unstructured, structured and sensor data in many disciplines such as all-source reporting, geographic information systems, biometrics reporting, imagery intelligence, signals intelligence, human intelligence, and open-source intelligence.
- Ability to communicate data analysis results in a clear and concise manner to a variety of technical and non-technical audiences.
- Ability to identify and understand an intelligence analytical cells questions and translate responses into technical solutions and recommend innovative technology-based solutions to meet those requirements.
- Must be able to define and document appropriate advanced analytic methods, predictive analysis, pattern analysis, and the like.
- Define and document appropriate advanced analytic methods for selection, categorization, and predictive modeling.
- Create algorithms or predictive models that can be put into production and will transition the algorithms and models to the engineering team.
- Actively monitor those algorithms and provide recommendations to update as needed.
- Develop and document methodologies for analyzing all types of data and determine patterns in the data. Data may include social media, open source, signals intelligence, human intelligence as prioritized by the user community.
- Unit testing and associated frameworks
- Requires quarterly travel to DC.
Desired Skills:
- Demonstrated interest and experience in empirical research.
- Experience with identifying relationships, patterns and factors that drive data sets using statistical methods such as regression, correlations, clustering, and principal components.
- Ability to examine how data from multiple disparate sources creates relationships, patterns, associations and other factors that drive data sets and visualizations.
- Experience with defining new data collection methods as well as new system requirements for processing and visualizing data.
Education & Certifications:
Security Clearance:
- An active TS/SCI clearance is required.
Benefits:
- National health, vision, and dental plans
- 20 days of PTO and 11 paid holidays
- Life Insurance
- Short- and long-term disability plans
- 401(K) retirement plans
- Incentive and recognition programs
- Relocation opportunities
Iron EagleX is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.