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Posted on 2026/04/07

AI Data Scientist

Finoit Inc.

Dallas, TX, United States

Contractor

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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