Senior Data Scientist

Job not on LinkedIn

🕒 September 8

🌲 North Carolina – Remote

🌲 North Carolina – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Auratech LLC

WebsiteLinkedInAll Job Openings

1 - 10 employees

💼 Consulting

🏨 Hospitality

📦 Logistics

Consulting • Hospitality • Logistics

Auratech LLC is a company specializing in home and commercial audio-visual systems. They offer a wide range of products, including AV receivers, amplifiers, speakers, subwoofers, soundbars, projectors, and various audio accessories. Auratech provides technology design and build services, consulting, and deployment of technology systems in residential, business, hospitality, corporate, education, and government sectors. With a strong focus on customer service, they assist clients in selecting and installing the best audio systems for their needs, offering both high-end products and more accessible options.

📋 Description

• Design, build, and ship machine learning systems for AI/ML applications across defense and commercial sectors • Own data science projects end to end, including problem framing, data acquisition, modeling, evaluation, deployment, and monitoring • Build and improve production ML pipelines in partnership with engineering • Develop data collection processes, features, automated tests, and deployments • Translate broad research objectives into well-scoped problems and devise experiments to test and develop solutions • Monitor deployed models for drift and degradation and drive retraining or redesign • Mentor junior data scientists through code review, design discussions, and pairing • Communicate methods and results to technical and non-technical audiences, including customers and leadership

🎯 Requirements

• U.S. Citizenship required due to Department of Defense contract requirements • 5+ years of professional experience as a data scientist, machine learning engineer, or equivalent applied research role • Substantive experience working with at least two distinct data domains, such as computer vision, time-series, geospatial, NLP, tabular/structured, graph, signal processing, or audio • Experience working on a team that owned a full ML pipeline, including data collection and labeling, feature and model development, testing, deployment, and post-deployment monitoring • Strong programming skills in Python and its scientific stack: NumPy, pandas, scikit-learn, and at least one deep learning framework such as PyTorch or TensorFlow • Familiarity with MLOps tooling, including experiment tracking, model registries, feature stores, CI/CD for ML, containerization, and orchestration • Comfort with software engineering practices, including version control, code review, testing, and reproducible environments • Graduate degree (MS or PhD) in a quantitative field such as computer science, statistics, mathematics, physics, engineering, or a related discipline; equivalent professional experience may be substituted for the degree • Resume/CV, cover letter, and three professional references required; one reference must be from a current or former supervisor • Attachments must be submitted in PDF format

🏖️ Benefits

• 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