Data Scientist

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

• 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

Qualifications:

Required:

• Bachelors Degree (BA/BS) in Computer Science, Statistics, Mathematics or related Engineering discipline.  Will consider experience in lieu of degree

• 5 or more years of related experience

• 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. 

• Experience 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.

• Willing to work onsite with possible hybrid schedule

• Willing and able to obtain a TS/SCI, current clearance preferred.

Desired:

• Strong written and verbal communication skills

• 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

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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.

Your potential is limitless. So is ours.

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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: