Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.
CACI International Inc is seeking an experienced engineer in Colorado Springs to develop machine learning models that identify suspect behavior in flight movement data. You will work with various teams to integrate data and provide technical insights.
The ideal candidate should have a degree in a technical field and a minimum of ten years of experience in data analytics, along with a valid US Government Security Clearance.
The engineer will work closely with the CACI Engineering & Integration (E&I) Manager as well as government Information Technology (IT) personnel to plan, design, and maintain a data mining, analysis, and analytics tool (Merlin) for the U.S. Customs and Border Protection (CBP) using data analytics and machine learning technology.
CACI is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.
The proposed salary range for this position is: $104,200-$229,200
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
Since this position can be worked in more than one location, the range shown is the national average for the position.