Sr Data Scientist

Overview

On Site
Depends on Experience
Full Time
No Travel Required

Skills

Ajax
Amazon Web Services
Artificial Intelligence
BERT
Cloud Computing
Collaboration
Communication
Computer Science
Continuous Delivery
Continuous Integration
Data Science
Database
Docker
Extraction
Git
Good Clinical Practice
Natural Language Processing
Google Cloud Platform
HTML5
JavaScript
Kubernetes
Microsoft Azure
PHP
Prompt Engineering
PyTorch
Python
SQL
Software Engineering
TensorFlow
Text Classification
Time Series
UI
Version Control
Workflow
jQuery

Job Details

Job Title: Data Scientist

Location: Kansas City, KS

Duration: 6+ Months

  • Bachelor s or Master s degree in Computer Science, Data Science, AI, or a related field.
  • 5-10 years of professional experience in Python, NLP, AI, or Data Science roles.
  • Hands on experience in Python 3 Libraries, UI frameworks, PHP, HTML5, AJAX, JavaScript, JQuery, JSON
  • Experience in building Data pipelines knowledge, SQL, Time series DB knowledge (Prometheus, Influx, Open search etc.)
  • Strong understanding of text classification, information extraction, document understanding, and sequence labeling.
  • Hands-on experience with Hugging Face Transformers, BERT, GPT, and other modern NLP models.
  • Proficiency in Python, TensorFlow, PyTorch, and relevant NLP libraries.
  • Solid experience in NLP data preprocessing techniques, including tokenization, lemmatization, and vectorization.
  • Expertise in prompt engineering techniques for improving LLM performance.
  • Familiarity with Agentic AI concepts, enabling AI agents to make independent decisions in complex workflows.
  • Strong knowledge of cloud computing platforms (Azure OpenAI, AWS, Google Cloud Platform) and containerized deployment (Docker, Kubernetes).
  • Experience with version control (Git), CI/CD, and software engineering best practices.
  • Ability to analyze large-scale datasets, derive insights, and optimize NLP model performance.
  • Excellent communication skills and ability to collaborate with cross-functional teams.

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