Applied AI Data Scientist - Consultant jobs in United States
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TeckHealth · 1 week ago

Applied AI Data Scientist - Consultant

TeckHealth is seeking an Applied AI Data Scientist who thrives at the intersection of analytics, engineering, and real-world problem solving. This role involves building production-grade AI capabilities and contributing to high-impact applied intelligence initiatives through hands-on work with complex data.

Government Administration

Responsibilities

Perform statistical analysis, clustering, and probability modeling to uncover insights and inform AI-driven solutions
Analyze graph-structured data to detect anomalies, extract probabilistic patterns, and support graph-based intelligence use cases
Build NLP pipelines focused on NER, entity resolution, ontology extraction, and scoring methodologies
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 best practices
Collaborate with cross-functional teams to translate analytical findings into scalable, production-ready capabilities
Prototype rapidly, iterate efficiently, and help evolve data science best practices across the team

Qualification

AI/ML software engineeringStatistical modelingGraph data analysisPythonNLP skillsML Ops fundamentalsCommunication skillsCollaboration skills

Required

Degree in Computer Science, AI/ML, or a related technical field
5+ years of AI/ML-focused software engineering experience
Strong experience in statistical modeling, clustering techniques, and probability-based analysis
Hands-on expertise in graph data analysis, including anomaly detection and distribution pattern extraction
Proficiency in Python and common data science/AI libraries (e.g., NumPy, Pandas, scikit-learn, PyTorch, spaCy, NetworkX)

Preferred

Solid NLP skills with practical experience in NER, entity/ontology extraction, and evaluation methods
An engineering-forward mindset with the ability to build, deploy, and optimize real-world solutions, not just theoretical models
Working knowledge of ML Ops fundamentals, including experiment tracking and key model performance metrics
Strong communication skills and the ability to collaborate effectively in fast-paced, applied AI environments

Company

TeckHealth

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At TeckHealth, we believe that great care starts with great people.

Funding

Current Stage
Growth Stage
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