Senior Data Scientist (AI/ML) with TS/SCI Clearance

Clearance Level
Top Secret/SCI
Category
Database Analysis/Design
Location
Springfield, Virginia

REQ#: RQ107021

Travel Required: None
Requisition Type: Regular

We are GDIT. The people supporting and securing some of the most complex government, defense, and intelligence projects across the country. We ensure today is safe and tomorrow is smarter. Our work has meaning and impact on the world around us, but also on us, and thats important.

GDIT is your place. You make it your own by embracing autonomy, seizing opportunity, and being trusted to deliver your best every day.

We think. We act. We deliver. There is no challenge we cant turn into opportunity. And our work depends on a TS/SCI Cleared Senior Data Scientist (AI/ML) joining our team to support our intelligence customer activities in Springfield, VA.

In this role, a typical day will include:

The Data Scientist will collaborate and execute GDITs business area objectives to deliver AI/ML capabilities to our customers. The position will focus on developing and implementing computer vision solutions to provide image classification, object detection, object tracking, and other ML techniques to solve customer challenges.

The position will lead a small team of data scientists and developers with freedom to develop new solutions and leverage partnerships with industry and government. Our solutions are built using the latest software and hardware, including our on-premise clusters of high performance compute, and direct multi-cloud access to Amazon Web Services and Azure.

Hands on practical experience and willingness to roll-up sleeves and write code is a must.

Responsibilities:

•Leverage HPC infrastructure to develop end-to-end Machine Learning and Deep Learning solutions to a variety of highly complex problems

•Experience with HPC environments and HPC workload managers is preferred

•Stay in touch with rapidly changing technology and identify opportunities to enhance existing solutions and processes with new capabilities

•Drive good design decisions and continuous improvement on all services, pipelines, processes, models, and algorithms

•Apply strong configuration management and quality control throughout the lifecycle applying MLOps and collaborating with data scientist, infrastructure engineers, and other stakeholders

 Requirements:

•Demonstrated experience using analytic methods and methodologies such as probability and statistics, formal modeling, and machine learning on bulk data

•Demonstrated experience using AI/ML tools, such as TensorFlow, PyTorch, Caffe, and scikit-learn

• Demonstrated experience developing machine learning models on images and full motion video

◾Experience with SAR imagery is preferred

•Demonstrated experience with synthetic data generation

•Demonstrated experience developing and using Python data analytics packages such as pandas, numpy, scipy, gensim, and scikit-learn

• Demonstrated experience using data pipelines and workflow technologies, such as Apache NiFi

•US Citizen with ability to obtain TS/SCI

COVID-19 Vaccination Requirement: To protect the health and safety of its employees and to comply with customer requirements, GDIT may require employees in certain positions to be fully vaccinated against COVID-19. Vaccination requirements will depend on the status of the federal contractor mandate and customer site requirements.

We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.

GDIT 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, or veteran status, or any other protected class.