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Scienceabode > Applied AI Data Scientist

Applied AI Data Scientist

Last updated: 2025/12/20 at 7:50 PM
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  • Permanent
  • United States
  • Posted 3 hours ago
Expert In Recruitment Solutions

Website Expert In Recruitment Solutions

Expert In Recruitment Solutions

Company : Expert In Recruitment Solutions

Applied AI Data Scientist

Location: Dallas, TX | Charlotte, NC

Experience: 5 8 Years

Work Setup: 5 days onsite (Locals only)

Interview: Must be comfortable with an in-person interview

Our client, a top-tier Management Consulting firm, is seeking a highly skilled Applied AI Data Scientist for a top tier Client.

Responsibilities and Requirements:

  • Perform statistical analysis, clustering, and probability modeling to drive insights and inform AI-driven solutions
  • Analyze graph-structured data to detect anomalies, extract probabilistic patterns, and support graph-based intelligence
  • Build NLP pipelines with a focus on NER, entity resolution, ontology extraction, and scoring
  • Contribute to AI/ML engineering efforts by developing, testing, and deploying data-driven models and services
  • Apply ML Ops fundamentals, including experiment tracking, metric monitoring, and reproducibility practices
  • Collaborate with cross-functional teams to translate analytical findings into production-grade capabilities
  • Prototype quickly, iterate efficiently, and help evolve data science best practices across the team
  • Solid experience in statistical modeling, clustering techniques, and probability-based analysis
  • Hands-on expertise in graph data analysis, including anomaly detection and distribution pattern extraction
  • Strong NLP skills with practical experience in NER, entity/ontology extraction, and related evaluation methods
  • An engineering-forward mindset with the ability to build, deploy, and optimize real-world solutions (not purely theoretical)
  • Working knowledge of ML Ops basics, including experiment tracking and key model metrics
  • Proficiency in Python and common data science/AI libraries
  • Strong communication skills and the ability to work collaboratively in fast-paced, applied AI environments

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