招聘
Job Title: Data Scientist (AI/ML)
Job Category: Science
Time Type: Full time
Minimum Clearance Required to Start: None
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Continental US
Anticipated Posting End: 6/1/2026
The Opportunity:
CACI's Analytics Solution's Internal Research and Development (IRAD) group is seeking a Data Scientist/Researcher to work in our research and development lab in Denver, CO. Our IRAD team researches and develops innovative software-based solutions that support multiple sectors that include Defense, National Security, Intelligence, and others. If you enjoy solving complex technical challenges, developing new and innovative software that has applications in AI, Machine Learning, Deep Learning, and Reinforcement Learning analytics - among other areas, this may be the opportunity for you.
Responsibilities:
- Work within a cross-disciplinary team to research new applications of Machine Learning, Deep Learning, and Reinforcement Learning analytics.
- Responsible for implementing experiments by leveraging open source and custom tools and techniques
- Use critical thinking to assess deficiencies in existing solutions or expert system-based applications and provide recommendations for improvement
Qualifications:
Required:
- 3+ years of related experience
- University Degree (BA/BS) in Computer Science, Statistics, Mathematics or related Engineering discipline
- Expertise in Artificial Intelligence / Machine Learning and Radio Frequency (RF) systems, combining deep knowledge of signal processing, spectrum analysis, and electromagnetic propagation with data-driven modeling and algorithm development.
- Experienced in applying supervised and unsupervised ML techniques to RF datasets, including classification, anomaly detection, and predictive modeling. Strong foundation in statistical estimation, linear algebra, and optimization, with hands-on experience in translating complex operational problems into scalable AI-enabled solutions.
- Knowledge and practical experience using a variety of machine learning techniques, for example: linear regression, logistic regression, neural networks, support vector machines, anomaly detection, natural language processing, clustering and classification algorithms
- Experience with Python and modern deep learning frameworks, such as Keras, Tensor Flow, and Py Torch.
- Strong written and verbal communication skills
- Recognized subject matter expert, impeccable engineering skills and deep understanding of the scientific models.
- Problems and issues faced are numerous and undefined, and require detailed information gathering, analysis and investigation to understand the problem
- Regularly employs ingenuity and creativity to develop new technical solutions to solve difficult problems
- Influences others regarding policies, practices, and procedures
- Steers high impact data science projects across business units
- US Citizenship and ability to obtain a TS/SCI Clearance
Desired:
-
Experience working within research and development (R&D) environments
-
Experience working within Agile development teams leveraging DevOps methodology
-
Experience working within cross-functional teams following a SCRUM/Sprint-based project execution
-
Experience delivering software systems for DoD customers
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:
$76,000 - 155,700 USD
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.
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关于CACI

CACI
PublicCACI International Inc. is an American multinational professional services and information technology company headquartered in Northern Virginia. CACI provides services to many branches of the US federal government including defense, homeland security, intelligence, and healthcare.
10,001+
员工数
Northern Virginia
总部位置
$5.2B
企业估值
评价
3.5
10条评价
工作生活平衡
3.8
薪酬
2.7
企业文化
4.0
职业发展
3.2
管理层
2.8
65%
推荐给朋友
优点
Flexible schedule and remote work options
Good benefits and health coverage
Supportive team culture and friendly coworkers
缺点
Below average compensation and salary
Poor management and lack of leadership direction
Limited career advancement opportunities
薪资范围
13个数据点
Principal/L7
Senior/L5
Principal/L7 · SENIOR PRINCIPAL ERP CONSULTANT
1份报告
$180,665
年薪总额
基本工资
$157,100
股票
-
奖金
-
$180,665
$180,665
面试经验
2次面试
难度
2.5
/ 5
时长
14-28周
录用率
50%
体验
正面 50%
中性 0%
负面 50%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Round
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
System Design
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