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Leidos

Sr. Data Scientist/Developer

Posted Yesterday
In-Office or Remote
4 Locations
126K-228K Annually
Senior level
In-Office or Remote
4 Locations
126K-228K Annually
Senior level
The role involves developing machine learning systems, implementing business solutions, and working with AI GPT technology in an Agile Scrum team.
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Looking for an opportunity to make an impact?

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

If this sounds like a mission you want to be a part of, keep reading!

The Digital Modernization Sector is focused on delivering performance-based IT services and repeatable solutions to include applying cloud-factory and aaS (as a Service) capabilities and integrating commercial products to provide a comprehensive digital engineering approach to IT transformation. Our team is solving the world’s toughest security challenges for customers with “can’t fail” missions. To explore and learn more, click here

Candidates MUST:

Be located in the United States for the current three consecutive years.
Be a US Citizen or US Person with the ability to obtain and maintain a Public Trust clearance.
This is a telework position; however, the candidate must reside in the Washington, D.C., Northern Virginia, or Maryland area.

Leidos is seeking an experienced AI GPT Senior Data Scientist/Developer who can bring creative ideas to solve complex problems, both technical and procedural, to the team. The ability to be adaptable and to work constructively with a technically diverse and geographically separated team is crucial. You will work as an integral part of an Agile Scrum team, supporting development within an innovative AI GPT technology. 

Key Responsibilities:
  • Key contributor in developing and implementing business solutions to address requirements, optimize efficiency, and deliver real content seamlessly.

  • Apply in-depth skills and broad knowledge to develop and implement machine learning systems to improve and streamline operations.

  • Write eloquent, reusable code that effectively solves problems.

  • Integrate with existing cloud services to solve complex extraction problems, such as analyzing and searching documents at scale.

  • Also working with:

    • Web application infrastructure

    • Proficiency with relational database systems such as PostgreSQL

    • Security Documentation

    • LLM Orchestration (calling tools or agents)

    • Prompt Engineering

Required Qualifications and Experience:
  • Master's degree and a minimum of 15 years of technical experience. 

  • Approximately 6 to 8 years of application development experience.

  • Proven development experience with client-server / distributed systems / cloud computing. 

  • Experience in using AI/ML models, chatbots and robotics to help internal teams promote diverse business outcomes and drive innovation.

  • Strong collaboration skills and desire to work within a team.  

  • Ability to work in a fast paced, constantly changing environment. 

  • Works well with limited oversight.

Required Technical Skills:
  • Python

  • TypeScript

  • Other object-oriented programming languages

  • React.js

  • Cloud Architecture

  • Experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) architecture

Additional Technical Skills:
  • Web application infrastructure

  • Security Documentation

  • LLM Orchestration (calling tools or agents)

  • Prompt engineering

  • Database management (SQL, NoSQL)

  • API development and integration

  • Natural Language Processing (NLP) techniques

  • Containerization (Docker, Kubernetes)

  • CI/CD Pipelines

  • Monitoring and Logging tools (e.g., ELK stack, Prometheus, Azure Analytics)

  • Knowledge of privacy and security measures for handling sensitive data

Come join our rapidly growing team and enjoy these benefits:
  • Paid Time Off (PTO) accrued based on Leidos policy, up to 3 weeks a year.

  • Eleven (11) paid holidays per year.

  • Access to benefits on day one including medical and dental insurance, 401K, Life, AD&D, Voluntary Disability plans.

  • Ongoing training to support your success.

  • Discounted Leidos stock purchase and other Employee Discounts.

At Leidos, we don’t want someone who "fits the mold"—we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.”

If you’re already scheming step 20 while everyone else is still debating step 2… good. You’ll fit right in.

Original Posting:July 31, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $126,100.00 - $227,950.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Top Skills

APIs
Azure Analytics
Ci/Cd
Cloud Architecture
Docker
Elk Stack
Kubernetes
Natural Language Processing
Postgres
Prometheus
Python
React
Typescript

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