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CACI International Data Scientist in Crane, Indiana

Data Scientist

Job Category: Science

Time Type: Full time

Minimum Clearance Required to Start: Secret

Employee Type: Regular

Percentage of Travel Required: Up to 25%

Type of Travel: Local


CACI is seeking a Data Scientist to provide engineering and technical support to assist our government customer the with collection of Live Imagery Products for Standardization (CLIPS) within the Department of Navy Electro-Optic (EO) Science and Technology (S&T) community. Products will support algorithm development on Unmanned Surface Vehicles (USV) and other customers. You will demonstrate competent writing and oral communication skills as well as ensure quality products and services are delivered to the customer.

What You’ll Get to Do:

Support the development, installation, deployment, and maintenance of technical solutions. You will work to schedule and manage configuration changes, upgrades, and security configuration. You will participate in deployment and administration of solutions, perform troubleshooting, and support integration testing.

Recommend best-practice solutions. Provide end-to-end monitoring of hardware and software performance and availability. Provide technical leadership and cross-training to peers in areas of expertise. Act as a resource to team members, participates in team and professional meetings. The ideal candidate will have experience and a strong engineering background in Design, Migration and Implementation. Provide hands on technical engineering expertise and development of services, systems and interfaces in coordination with government and other engineers to ensure system requirements are met as each subsystem is identified, developed, integrated and validated.

More About the Role:

  • Provide annotated and labeled video from Naval Imagery Collection Service (NICS) collections (i.e., descriptors of scene content and collection pedigree, no bounding boxes applied within the video).

  • Review documentation and community feedback to generate a holistic ontology to capture the variety of scene content in a manner that allows applications based on visual cues from observing motion imagery.

  • Provide recommendations for improving the fidelity of this ontology to include other data sources such as AIS, ADS-B, etc.

  • Support development AI/ML workflow tools in support of military motion imagery analysis.

  • Support definition of metadata requirements to support labeling of military motion imagery.

  • Develop metadata tools and models to support streamlined imagery labeling.

  • Support development and implementation of efficient processes and tools for data set preparation and dissemination.

  • Support development and implementation of data models in a variety of formats to support the growth of NICS tool sets and data richness captured during data collections. This will include providing documentation, processes, and tools to perform this task.

  • Support onsite data collection at scheduled test events utilizing the NICS hardware.

  • Identify/perform NICS hardware upgrades to support evolving collection requirements.

  • Support the EO S&T customer with engineering services, as required.

You’ll Bring These Qualifications:

  • Bachelor’s Degree in Applied Science or Engineering Discipline and 1+ years of related experience.

  • Possession of excellent oral and written communication skills.

  • Advanced level knowledge and experience working with MS Access, SQL server and database design and management.

  • A basic understanding of Electro Optic technical operational procedures and requirements, and knowledge of the government communities that work in and with Electro Optics.

  • Eligibility to obtain and maintain a U.S. government security clearance (U.S. citizenship is a pre-requisite; Security clearance is required before starting this position).

These Qualifications Would be Nice to Have:

  • Experience working with Imaging Processing and AI/ML experience preferred.

  • Demonstrated experience with requirements traceability / tracking and Model Based Systems Engineering (MBSE) tools to include DOORS and CAMEO.

  • Experience working in DoD community.

  • Active security clearance

What We Can Offer You:

  • 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 60 years, the principles of CACI’s unique, character-based culture have been the driving force behind our success.

Company Overview:

CACI is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

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 (https://careers.caci.com/global/en/employee-benefits)

Since this position can be worked in more than one location, the range shown is the national average for the position.

The proposed salary range for this position is:

$52,700-$105,400

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