Data Scientist/Machine Learning Developer - TS/SCI with Polygraph

Data Scientist/Machine Learning Developer

Own your opportunity to turn data into measurable outcomes for our customers' most complex challenges. As a Data Scientist/Machine Learning Developer at GDIT, you'll power innovation to drive mission impact and grow your expertise to power your career forward.

Required Skills:

• Experience in developing and training machine learning models, analyzing user feedback and interaction data, and collaborating with the NLP engineers and information retrieval expert.
• Experience with primary languages of Vue, Node.js, Javascript.
• Front End Skills: Single Page Applications (Vue, JavaScript, TypeScript, CSS, HTML), Responsive Design.
• Back End Skills: Microservices, REST, Node.js, Nest.js - Build Tools: maven, gradle, git, tactical and strategic improvements to large scale Java/J2EE/ products.
• Documented Experience with DevOps/Platforms: Amazon Web Services (S3, RDS, EC2, ECS, Lambda, SQS, SNS, CloudFormation, etc.).
• Demonstrated experience with developing in Ruby/Ruby on Rails; - CI/CD: Jenkins, Artifactory, Docker, Kubernetes.
• Excellent knowledge of relational databases (PostgreSQL, Oracle), SQL and ORM technologies (JPA2, Hibernate).
• Excellent skills in DB Schema design and SQL development

What You'll Need To Succeed:

• Education: BA/BS in Information Technology or related field
• Experience: 15+ years of related experience
• Security Clearance Level: TS/SCI with Polygraph
• Location: McLean, VA, on Customer Site
• US Citizenship Required

GDIT Is Your Place:

• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and holidays

Own Your Opportunity

Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.