CACI

location-iconCACI

Data Scientist

location-iconChesapeake Beach, MD, 20732

jobtype-iconPart Time, Full Time

estimated-salary-icon$119,871 per year

dateposted-iconPosted 9 days ago

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location-iconActively Hiring

Data Scientist

Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: None Type of Travel: None Anticipated Posting End: There is not an anticipated end date for this posting since applications are needed on an ongoing basis.

CACI's C3I AI Research & Technology Integration Team 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.

The Opportunity:

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

Qualifications:

Required:

  • Candidates must have a Top-Secret SCI clearance
  • 2+ years of related experience
  • 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
  • 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

Desired:

  • 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

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.

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 to balance their personal and professional goals.

Minimum annual salary: $120,000

Maximum annual salary: $180,000

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FAQ's

Find the answers for the most frequently asked questions below

Are you looking for job openings with CACI near Chesapeake Beach, MD, US? You'll find plenty of opportunities in nearby cities, including Falls Church, VA, Alexandria, VA, Dumfries, VA, Fairfax, VA, Herndon, VA, Manassas, VA, Vienna, VA, Leesburg, VA, Fredericksburg, VA, Warrenton, VA, Lovettsville, VA, Purcellville, VA, Baltimore, MD, Annapolis, MD, Bowie, MD, Laurel, MD, Berryville, VA, Hampstead, MD, Bladensburg, MD, Gaithersburg, MD. These locations offer remote jobs, part-time jobs, and full-time positions with CACI. Check out current job listings in these cities to discover more employment opportunities and local jobs hiring now in your area.

If you're searching for companies hiring now in Chesapeake Beach, MD, US, several top employers are offering a variety of job opportunities. These include Amazon, U.S. Department of Defense, SAIC, Angi, Deloitte, Allied Universal, OneMain Financial and more. Whether you're looking for entry-level positions, work-from-home jobs, or immediate hire roles, you'll find plenty of local job listings in Chesapeake Beach, MD, US.

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Data scientists typically earn an average annual salary of around $113,000 in the United States, according to Glassdoor data. However, salaries can vary widely depending on factors such as location, industry, and level of experience.

A good data scientist should possess strong analytical skills, proficiency in programming languages like Python or R, and a deep understanding of statistical methods and machine learning algorithms. They should also be able to communicate complex data insights effectively to non-technical stakeholders.

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A data scientist is a professional who uses statistical analysis, machine learning, and programming skills to extract insights and knowledge from large, complex datasets. They often work on projects that involve predictive modeling, data mining, and visualization to help organizations make informed decisions.

Yes, a data scientist can work from home. They primarily work with data, which can be accessed remotely, and their tasks often involve analysis, modeling, and interpretation, which can be done independently. However, the specific work arrangements may vary depending on the company's policies and project requirements.

A data scientist is a professional who uses statistical methods, machine learning algorithms, and data analysis techniques to extract insights, trends, and patterns from complex data sets, often to inform business decisions and strategy.

Data scientists analyze and interpret complex data to help organizations make informed decisions. They use statistical models, machine learning algorithms, and data visualization tools to extract insights from large datasets. They also often work on predictive modeling and data-driven problem-solving.

A Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field is often considered suitable for a Data Scientist role. However, many data scientists also have advanced degrees such as a Master's or Ph.D. in Data Science, Statistics, or a related field. Practical experience with programming languages like Python, R, or SQL, and a strong understanding of machine learning and statistical analysis are also crucial.

Yes, data scientists are scientists. They apply scientific methods, mathematics, and statistics to extract insights and knowledge from data. They work in various fields, such as technology, finance, healthcare, and more, to analyze and interpret complex data sets.