Applied AI Data Scientist - Contractor

Dallas, TX, US • Posted 5 days ago • Updated 5 days ago
Full Time
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Python
  • AI libraries
  • Data science
  • Machine Learning Operations (ML Ops)
  • Machine Learning (ML)
  • NLP
  • Clustering
  • Artificial Intelligence
  • Graph data
  • AI/ML
  • NER
  • Testing
  • Natural Language Processing
  • Extraction

Summary

PLEASE NOTE:
  • It is a 100% Onsite position in Dallas, TX.
  • Local Candidates preferred.
 
KEY REQUIRED SKILLS:
  • Involves statistical analysis, NLP, graph data, ML Ops, and developing/deploying AI solutions.
  • Eligible for Hacker Rank assessment.
 
JOB DESCRIPTION:
  • Perform statistical analysis, clustering, and probability modelling 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.


Requirements

REQUIRED SKILLS:
  • Solid experience in statistical modelling, 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.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90934554
  • Position Id: 8924820
  • Posted 5 days ago
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