Senior Data Scientist — Remote ML Architect for Real-World Impact

AURA TECHNOLOGIES LLC

North Carolina

Hybrid

USD 140,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Fortune 500-level Health Care Coverage
Unlimited Leave Program after 60 days
10 Paid Holidays & Paid Winter Break
401(k) Safe Harbor Contributions
Employee Discount Program

Job summary

AURA Technologies LLC is seeking a Senior Data Scientist (USA-Remote) to design, build, and ship machine learning systems across defense and commercial portfolios. You will work with a team of data scientists and engineers to frame problems, evaluate feasibility, and deliver high-performance models in production.

Minimum qualifications include 5+ years in data science or ML, experience across multiple data domains, and strong Python with PyTorch or TensorFlow. U.S.

Qualifications

  • 5+ years of professional data science or ML engineering experience.
  • Experience delivering end-to-end ML projects from data to production.
  • Strong Python and scientific computing stack required.
  • U.S. Citizenship is required for DoD-related work.

Responsibilities

  • Own data science projects end to end from framing to deployment and monitoring.
  • Build and maintain production ML pipelines with data collection and testing.
  • Translate research objectives into well-scoped problems and experiments.
  • Mentor junior data scientists and communicate results to stakeholders.

Skills

Python
MLOps
ML pipelines
Data science lifecycle
Communication

Education

MS or PhD in a quantitative field

Tools

PyTorch
TensorFlow
NumPy
Docker
Kubernetes

Job description

AURA Technologies LLC is seeking a Senior Data Scientist (USA-Remote) to design, build, and ship machine learning systems across defense and commercial portfolios. You will work with a team of data scientists and engineers to frame problems, evaluate feasibility, and deliver high-performance models in production.

Minimum qualifications include 5+ years in data science or ML, experience across multiple data domains, and strong Python with PyTorch or TensorFlow. U.S.

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