Data Scientist (AI/ML)

CACI International•Denver, CO

About The Position

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.

Requirements

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, TensorFlow, and PyTorch.
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

Nice To Haves

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

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