Security-Cleared Computational Data Scientist: ML & AI

NCSL International; Aberdeen (MD); On-site; USD 115,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Insurance options

Paid time off

401k

Flexible spending

Tuition reimbursement

Job summary

SURVICE Engineering is seeking a Computational Data Scientist to support the Aberdeen Research Operation and drive data-driven insights for defense applications. You will accelerate your career as an integral member of the defense community.

You will apply ML and data science to materials research and process modeling, collaborating with ARL scientists and presenting results in government formats. This role emphasizes cross-disciplinary teamwork and rigorous analysis.

Qualifications

• MS or PhD in CS or Math with 3+ years of relevant experience.
• Practical experience applying data science to real-world problems.
• Proficient in Python and AI/ML models.

Responsibilities

• Carry out forward-looking materials research and process modeling using data science techniques.
• Collaborate with ARL scientists using visual analytics and human-in-the-loop methods.
• Apply learning algorithms to high-dimensional data with limited labels.
• Process heterogeneous data from numeric to unstructured sources and manage data flows.
• Engage with external partners to identify cutting-edge tools for ARL use.
• Prepare presentations and written documents in Government format.

Skills

Machine learning

Data analysis

Communication

Education

MS or PhD in Computer Science or Math related discipline

3+ years of relevant experience

Tools

Python

AI/ML models

Job description

SURVICE Engineering is seeking a Computational Data Scientist to support the Aberdeen Research Operation and drive data-driven insights for defense applications. You will accelerate your career as an integral member of the defense community.

You will apply ML and data science to materials research and process modeling, collaborating with ARL scientists and presenting results in government formats. This role emphasizes cross-disciplinary teamwork and rigorous analysis.