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

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret SCI + Polygraph

Clearance Level Must Be Able to Obtain:

Top Secret SCI + Polygraph

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

JavaScript, Machine Learning (ML), Node.js, Vue.js

Certifications:

None

Experience:

15 + years of related experience

US Citizenship Required:

Yes

Job Description:

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 \n- 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; \n- CI/CD: Jenkins, Artifactory, Docker, Kubernetes.
• Excellent knowledge of relational databases (PostgreSQL, Oracle), SQL and ORM technologies (JPA2, Hibernate).
• Demonstrated experience with developing in Ruby/Ruby on Rails; \n- 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.

#WeAreGDIT
#JET
#GDITEnhanced2026
#VA_2025Alumn

The likely salary range for this position is $182,882 - $247,428. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Onsite

Work Location:

USA VA McLean

Additional Work Locations:

USA VA Herndon

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.