Federal Data Scientist: ML/NLP & Azure Cloud, Hybrid

MANTECH; Arlington (VA); Hybrid; USD 110,000 - 150,000; Full time

Job summary

MANTECH International Corporation seeks a Data Scientist to join its Arlington, VA team in a hybrid role with on-site days each month. You will develop, deploy, and maintain production ML and NLP models using large human-capital data, while modernizing data products and pipelines on an Azure-first platform.

The role requires 2–3 years of hands-on ML/NLP experience, a quantitative bachelor’s degree, and strong Python skills. Collaboration across Agile teams and stakeholders is essential.

Qualifications

• Bachelor’s degree in a quantitative field as listed.
• Experience building production ML and NLP models.
• Strong Python skills for data pipelines and automation.
• Familiar with Agile teams and collaborative tooling.

Responsibilities

• Develop, deploy, and maintain production ML and NLP models with large datasets.
• Build data products and pipelines across legacy and cloud systems.
• Translate policy questions into scoped analytical work for stakeholders.
• Contribute to a cloud-first Azure stack with security and governance.
• Mentor others and promote reusable tooling in the team.

Skills

Python programming

NLP/ML modeling

Data analysis

Agile teamwork

Education

Bachelor’s degree in mathematics, statistics, computer science, engineering, data science, or related field

Tools

VS Code

Git

GitHub Copilot

Azure Databricks

Azure OpenAI

Azure AI Search

Job description

MANTECH International Corporation seeks a Data Scientist to join its Arlington, VA team in a hybrid role with on-site days each month. You will develop, deploy, and maintain production ML and NLP models using large human-capital data, while modernizing data products and pipelines on an Azure-first platform.

The role requires 2–3 years of hands-on ML/NLP experience, a quantitative bachelor’s degree, and strong Python skills. Collaboration across Agile teams and stakeholders is essential.