Applied AI Data Scientist

Hiring: Applied AI Data Scientist
📍 Location: Charlotte, NC (Local Candidates Only)
❌Strictly NO GC's
🔹 Position: Onsite

We are looking for an Applied AI Data Scientist who can bridge advanced analytics with real-world AI solutions.

🔹 Key Responsibilities:
Perform statistical analysis, clustering, and probability modeling to drive insights
Analyze graph data for anomaly detection and probabilistic pattern extraction
Build NLP pipelines including NER, entity resolution, ontology extraction, and scoring
Develop, test, and deploy AI/ML models into production environments
Implement ML Ops practices like experiment tracking, monitoring, and reproducibility
Collaborate with cross-functional teams to deliver production-grade AI solutions
Rapid prototyping and continuous iteration of AI models

🔹 Required Skills:
Strong experience in statistical modeling, clustering techniques, and probability analysis
Hands-on expertise in graph data analysis, including anomaly detection and distribution pattern extraction
Strong NLP skills with practical experience in Named Entity Recognition (NER), entity extraction, entity resolution, ontology extraction, and evaluation methods
Proficiency in Python and common AI/ML libraries
Experience building and deploying end-to-end machine learning solutions
Working knowledge of ML Ops fundamentals, including experiment tracking and model metrics
Strong communication and collaboration skills

🔹 Preferred Skills:
Experience with graph databases such as Neo4j or frameworks like NetworkX
Exposure to applied AI environments and real-world AI product development
Familiarity with cloud platforms such as AWS, Azure, or GCP
Experience with large-scale or real-time data processing