Data Scientist

Tachyon Technologies
Jersey City, NJ, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$120,000.0 - $125,000.0
Working hours
Shift work
Job source

Tech stack

Cluster Analysis Information Engineering Software Debugging Python (Programming Language) Machine Learning Software Construction SQL Databases Google Cloud Cloud Platform System Chatbots Large Language Models Prompt Engineering
+3 more
Model Validation Document Classification Software Version Control

Requirements

  • 7+ years of experience in Data Science, Applied NLP, or Machine Learning
  • Hands-on experience building LLM-based solutions in cloud environments
  • Experience with Prompt Engineering and fine-tuning Transformer models
  • Strong knowledge of NLP, Text Classification, Text Embeddings, and Clustering
  • Experience designing evaluation frameworks for LLMs, including hallucination detection and output reliability
  • Experience working with limited or noisy labeled datasets
  • Strong debugging, error analysis, and model performance optimization skills
  • Ability to document solutions and provide clean handoffs to Data Engineering teams
  • Proficiency in Python and SQL

Preferred Skills

  • Healthcare or Contact Center domain experience
  • Experience with Google Cloud Platform (GCP)
  • Experience with LangChain, RAG, or Conversational AI frameworks
  • Familiarity with version control and software engineering best practices

Benefits & conditions

Pulled from the full job description

  • 401(k)
  • Flexible schedule

About the company

We are seeking a Data Scientist to join the AI Enabled Call Center Efficiency and Customer Experience (CEX) team. In this role, you will design, develop, and deploy NLP and LLM-powered models to extract meaning, intent, outcomes, and sentiment from customer interactions across calls, chats, and other digital channels. You will transform complex data into actionable insights and help build AI-driven solutions that improve customer experience and call center efficiency.

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