Data Scientist at CACI International | Denver, CO | Rezi

Data Scientist at CACI International

Data Scientist

CACI International · Denver, CO

1 weeks ago

Data Scientist

CACI International · Denver, CO

13 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

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 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.

Requirements

  • 5+ years of related experience.
  • Active TS/SCI clearance with the ability to obtain and maintain a polygraph.
  • 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.
  • 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.

Skills

  • 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.

Location

  • Denver, CO

Work Type

  • Full time
  • Not remote

Experience Level

  • Senior level
  • 5+ years of related experience

Education Level

  • University Degree (BA/BS) in Computer Science, Statistics, Mathematics or related Engineering discipline

Salary/Compensations

  • $90,300 - 189,600 USD

Benefits

  • Healthcare
  • Wellness
  • Financial
  • Retirement
  • Family support
  • Continuing education
  • Time off benefits
  • Flexible time off

About the Company

  • 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.
  • CACI values the unique contributions that every employee brings to our company and our customers - every day.
  • 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.

Equal Opportunity

  • 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.