Senior Data Scientist – Machine Learning Engineer

Northrop Grumman

. Work directly with stakeholders (engineers, program managers, subject matter experts) to scope problems, identify constraints, and iterate on technical solutions .

Posted 5/5/2026full-time🇺🇸 United StatesSenior💰 $142,200 - $213,200 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDockerJavaScriptNext.jsPythonSQLTerraform

About the role

Key responsibilities & impact

Work directly with stakeholders (engineers, program managers, subject matter experts) to scope problems, identify constraints, and iterate on technical solutions
Bridge analytics and infrastructure by understanding both the business problem and the approach, then building systems that deliver insights
Build user‐friendly, production‐grade ML/AI applications (e.g., Streamlit, Gradio) that provide data insights to teams across the enterprise and enable better decision making
Develop and maintain cloud‐based infrastructure (AWS, Databricks) and tooling to support scalable and reliable data analytics workflows
Design and implement CI/CD pipelines, infrastructure‐as‐code (Terraform, AWS CloudFormation), and MLOps practices that enhance team productivity
Optimize existing workflows and advocate for software engineering best practices (version control, modular design, testing) to drive team efficiency and code quality
Stay current on cloud technologies, MLOps trends, and application frameworks to identify opportunities for improvement

Requirements

What you’ll need

Must have a PhD with 4 years of relevant professional experience OR a Master’s degree with 6 years of relevant professional experience OR Bachelor’s degree with 8 years of relevant professional experience
Must have strong proficiency with Python, SQL, and Git
Must have experience with frameworks for rapid application development (e.g., Streamlit, Gradio, Starlette, Next.js)
Must have knowledge of DevOps or MLOps concepts and their application in data science workflows
Must have strong understanding of containerization (e.g., Docker, Podman)
Must have the ability to work collaboratively with data teams (data scientists, analysts) to support analytics workflows and insights
Must have demonstrated problem‐solving and critical‐thinking skills with an ability to handle complex technical challenges
Must have excellent communication skills and comfort engaging with non‐technical stakeholders.

Benefits

Comp & perks

Health insurance coverage
Life and disability insurance
Savings plan
Company paid holidays
Paid time off (PTO) for vacation and/or personal business

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLGitStreamlitGradioStarletteNext.jsDockerPodmanTerraform

Soft Skills

problem-solvingcritical-thinkingcollaborationcommunication

Certifications

PhDMaster’s degreeBachelor’s degree