Applied AI Data Scientist - Contractor
PLEASE NOTE:
- It is a 100% Onsite position in Charlotte, NC.
- Local Candidates preffered.
KEY REQUIRED SKILLS:
- Involves statistical analysis, NLP, graph data, ML Ops, and developing/deploying AI solutions.
- Eligible 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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