Applied AI Data Scientist Contractor
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
- It is a 100% Onsite position in Dallas TX.
- Local Candidates preferred.
- Involves statistical analysis NLP graph data ML Ops and developing/deploying AI solutions.
- Eligible for Hacker Rank assessment.
- 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
- 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.
Required Skills:
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
Required Education:
Eligible for Hacker Rank assessment.
