Data Scientist Senior

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

Other

Job Family:

Data Science

Job Qualifications:

Skills:

Data Science, Generative AI, Large Language Models (LLMs)

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

No

Job Description:

Deliver insights to help our clients turn data into action as a Data Scientist Senior at GDIT. Your work will provide transformative solutions to our clients’ big data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career.

At GDIT, people are our differentiator. GDIT Technology Shared Services (TSS) is seeking a Data Scientist Senior to transform how government agencies use data. Our work depends on a Data Scientist Senior joining our team to work on Project Monologue, with a focus on delivering AI-powered virtual agent chatbots to Federal and State agencies.

HOW A DATA SCIENTIST SENIOR WILL MAKE AN IMPACT:

• Accelerate product development by integrating advanced AI capabilities across our suite
• Modernize contact centers and service desks through enhanced self-service capabilities
• Implement generative AI (GenAI) with large language models (LLMs) and retrieval augmented generation (RAG) to deliver precise, data-driven responses
• Develop omni-channel functionality across voice and chat interfaces
• Enhance virtual agents through advanced features including classification and sentiment analysis
• Build an agentic framework enabling service ticket management, account administration, and intelligent journey orchestration

WHAT YOU’LL NEED TO SUCCEED:

• Bachelor's degree in a related field and 5+ years of relevant experience or equivalent years of experience
• Experience as a data scientist
• Experience with generative AI (GenAI) using large language models (LLMs), RAG, and knowledge bases
• Expertise in AI/ML technologies on AWS, including Bedrock, Lambda, and SageMaker
• Experience in machine learning and statistical techniques and modeling with both quantitative and qualitative data
• Experience with Python libraries like Pandas, NumPy, scikit-learn, and PyTorch/TensorFlow
• Ability to navigate ambiguity, solve problems, communicate effectively, and implement novel solutions in a dynamic field
• Ability to obtain a public trust

NICE TO HAVE:

• Experience fine-tuning LLMs for specific use cases
• Hands-on experience with AI/ML tools in Google Vertex AI and Microsoft Azure
• Background in NLP and conversational AI design
• Experience with agentic frameworks and orchestration systems
• Experience in forecasting, anomaly detection, classification, and clustering
• Skilled in data visualization using python and BI tools such as Power BI, Tableau, or Looker
• Experience with data pipelines, ETL processes, and database management
• Experience in government contracting
• Experience integrating AI solutions with legacy systems

GDIT IS YOUR PLACE:

• Full-flex work week to own your priorities at work and at home
• 401K with company match
• Comprehensive health and wellness package
• 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

The likely salary range for this position is $105,622 - $138,000. 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:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

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