Data Scientist
CACI International Inc
Denver, CO, US
Job highlights
Qualification
Eligibility: Candidates must be U.S. Citizens and the ability to obtain and hold a Top Secret SCI, clearance. 3+ years of related experience. University Degree (BA/BS) in Computer Science, Statistics, Mathematics or related Engineering discipline. Proven experience as a Data Scientist, Statistician, or similar role with a strong focus on statistical analysis. 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. Recognized subject matter expert, impeccable engineering skills and deep understanding of the scientific models. Coaches, reviews and delegates work to lower level technical team members. 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. Steers high impact data science projects across business units. Basic understanding and practical experience with Computer Vision or Natural Language Processing. 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
Responsibility
Percentage of Travel Required: Up to 10%. 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
Benefits
Job Description
Description
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: Local Anticipated Posting End: 10/18/2024 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. Location: Position is located Denver, CO. Any out of state applicants are assumed to be willing to relocate to the location. This is not a remote position. Eligibility: Candidates must be U.S. Citizens and the ability to obtain and hold a Top Secret SCI, clearance. We will sponsor for a security clearance. Overview 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. What You’ll Get To Do • 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 Required Skills And Experience • 3+ years of related experience • University Degree (BA/BS) in Computer Science, Statistics, Mathematics or related Engineering discipline • Proven experience as a Data Scientist, Statistician, or similar role with a strong focus on statistical analysis. • 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 • Recognized subject matter expert, impeccable engineering skills and deep understanding of the scientific models. • Coaches, reviews and delegates work to lower level technical team members • 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 These Qualifications Would Be Nice To Have • Basic understanding and practical experience with Computer Vision or Natural Language Processing • 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 About CACI • With over 25,000 employees, we’ve been named a Best Place to Work by the Washington Post. • Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. • We offer competitive benefits and learning and development opportunities. • We are mission-oriented and ever vigilant in aligning our solutions with the nation’s highest priorities. • For over 55 years, the principles of CACI’s unique, character-based culture have been the driving force behind our success. ______________________________________________________________________________ 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 takes pride in fostering a diverse and accessible culture where every individual feels supported to chart their own path. 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. Learn more about CACI here. ______________________________________________________________________________ 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. Learn more here. The Proposed Salary Range For This Position Is $69,100 - 141,500 USD CACI is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, disability, status as a protected veteran, or any other protected characteristic.