Data Scientist

CACI International•Denver, CO

1d•$90,300 - $189,600•Onsite

About The Position

CACI's Analytics Solution's Internal Research and Development (IRAD) group is seeking a Senior level 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 others, this may be the opportunity for you. This is not a remote position.

Requirements

5+ years of related experience
Active TS/SCI clearance with the ability to obtain and maintain a polygraph
University Degree (BA/BS) in Computer Science, Statistics, Mathematics or related Engineering discipline
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, pyTorch, caffe.
Strong written and verbal communication skills
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

Nice To Haves

Basic understanding and practical experience with Computer Vision including Pattern of Life (PoL) , Natural Language Processing, and Ontology Conversions
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.