Posted on 2026/04/07
AI Data Scientist
Finoit Inc.
Dallas, TX, United States
Qualifications
• Strong experience in statistical modeling and machine learning
• Hands-on expertise with NLP (NER, entity extraction, etc.)
• Experience with graph data analysis and anomaly detection
• Proficiency in Python and AI/ML libraries
• Understanding of ML Ops fundamentals
• Strong problem-solving and communication skills
• 3 more items(s)
Responsibilities
• This role focuses on turning complex data into actionable insights and production-ready models
• Perform statistical analysis, clustering, and probability modeling
• Analyze graph data to detect anomalies and extract patterns
• Build NLP pipelines (NER, entity resolution, ontology extraction)
• Develop, test, and deploy ML models and data-driven services
• Apply ML Ops practices (experiment tracking, monitoring, reproducibility)
• Collaborate with cross-functional teams to deliver AI solutions
• 4 more items(s)
More job highlights
Job description
Title: AI Data Scientist (NLP & Graph Analytics)
Job Type: Full-Time / Contract
Local to Dallas Only
Job Summary:
We are seeking an AI Data Scientist with strong experience in NLP, graph analytics, and statistical modeling to build and deploy scalable AI-driven solutions.
This role focuses on turning complex data into actionable insights and production-ready models.
Key Responsibilities:
• Pe...rform statistical analysis, clustering, and probability modeling
• Analyze graph data to detect anomalies and extract patterns
• Build NLP pipelines (NER, entity resolution, ontology extraction)
• Develop, test, and deploy ML models and data-driven services
• Apply ML Ops practices (experiment tracking, monitoring, reproducibility)
• Collaborate with cross-functional teams to deliver AI solutions
Required Skills:
• Strong experience in statistical modeling and machine learning
• Hands-on expertise with NLP (NER, entity extraction, etc.)
• Experience with graph data analysis and anomaly detection
• Proficiency in Python and AI/ML libraries
• Understanding of ML Ops fundamentals
• Strong problem-solving and communication skills
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