Evans & Chambers Technology is seeking to enhance the US national defense community's ability to identify, address, and act on challenges by creating fully integrated, resilient, and innovative digital solutions, including conquering data and improving IT infrastructure.
Requirements
- 4-10 plus years’ experience in Data Science or Data Engineering
- Advanced analytical tools
- Machine learning techniques
- Statistical modeling
- Data visualization
- Predictive analytics
- IBM Professional Data Scientist certification
Responsibilities
- Provides comprehensive support for intelligence processing by offering expert guidance on developing solutions for errors detected in collected intelligence data.
- Analyzes inconsistencies, anomalies, and data gaps using advanced analytical tools and machine learning techniques to enhance the accuracy and reliability of intelligence reporting.
- Develops data-driven methodologies to refine data validation processes and optimize error detection within intelligence workflows.
- Assists in researching, understanding, and integrating emerging technologies to improve intelligence processing capabilities and enhance data quality across multiple intelligence disciplines.
- Offers expert guidance on implementing corrective solutions by designing algorithms and automated processes that mitigate systemic errors in intelligence collection.
- Applies statistical modeling, data visualization, and predictive analytics to refine intelligence processing techniques and enhance operational decision-making.
- Works with intelligence teams to develop tailored solutions that address data inconsistencies, improve collection methodologies, and streamline analytical processes.
Other
- TS/SCI with CI Poly clearance
- Bachelor of Science in related field
- ICAgile Certified Professional
- Travel not specified, but location is Washington, DC and Arlington, VA
- All employment opportunities are made without regard to age, race, creed, color, religion, sex national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status or any other basis protected by law.
