Responsibilities
You will work as part of a team to solve the most critical operational problems involving data analytics in support of operational forces. Your experience and understanding of data analytics, machine learning, algorithm development, and data clustering supports predictive and prescriptive intelligence insights crucial to building actionable intelligence that will be utilized to protect and defend U.S. interests. Your experience and understanding of AI/ML engineering methodologies will be crucial to development of strategies, plans, and programs in anticipation of current and future operational missions. As part of a team, you will deploy AI/ML capabilities using multiple technological and computational methodologies, to provide insight and understanding of the operational environment or point of interest.
Qualifications
Required
Top Secret clearance with SCI eligibility
Bachelor’s degree in Computer Science or similar field (Information Systems, Mathematics, Engineering, or Data Science) and 8 years of experience with data analytics methodology supporting the DoD or IC
Typically, 12 years of progressive related experience in lieu of a degree is accepted
Experience with AI/ML methods in support of a customer; developing, optimizing and integrating geospatial AI/ML models in support of the DoD or IC.
Experience in development and implementation of at least one of the following: computational modeling, statistics, applied mathematics, computer science, and/or data analytics in support of customer business cases
Experience assessing and developing analytical methodologies to enhance customer’s analysis process/ products
Experience implementing at least one of the following machine learning algorithms, data mining, and statistical algorithms for pattern recognition and the development of predictive models
Shall possess strong oral and written communication skills and be capable of effectively leading projects
Obtain and maintain currency of the appropriate level certification per DOD 8570.01
Desired
Master’s Degree in Computer Science or similar field
Strong understanding of utilizing geospatial data for predictive analysis.
Experience providing data science support to Intelligence analysis
Experience with a wide range of databases and dynamic data sources is strongly desired.
What You Can Expect
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.
Pay Range
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.
The proposed salary range for this position is
$93,500 - $196,500
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
