Applied Scientist
Job in
Dallas, Dallas County, Texas, 75215, USA
Listed on 2025-12-30
Listing for:
hackajob
Full Time
position Listed on 2025-12-30
Job specializations:
-
IT/Tech
AI Engineer, Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Job Description & How to Apply Below
Applied AI Data Scientist
hackajob on-demand focuses on matching talented contractors like you with organisations seeking specific skills for their projects. We use our platform to connect you with exciting contract opportunities and discuss projects on behalf of the companies we partner with.
Must be located in Dallas, TX or Charlotte, NC - role is on-site 5 days / week
What You’ll Get to Do- Perform statistical analysis, clustering, and probability modeling 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
- 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
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