Applied AI Data Scientist - Contractor

Job Information

• Permanent W-2 Employee / Corp2Corp Contractor | Omm IT Solutions | United States

• Posted On 03/24/2026

• Start Date 03/26/2026 12:00 AM

• Compensation Negotiable

• IT Services

• Work Authorization USC/GC/H1B

• Job Opening ID Omm2856J

• State/Province Texas

• City Dallas

• 75201

Job Description

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.

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