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Senior Data Scientist

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: Compunnel, Inc.
Full Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

The Senior Data Scientist will leverage advanced analytical and machine learning expertise to extract insights from complex datasets and develop innovative, data-driven solutions. The role requires strong experience with generative AI, large language models, Retrieval-Augmented Generation (RAG), agentic AI, unstructured data, and customer-facing products. The Data Scientist will work closely with Machine Learning Engineers throughout the production lifecycle and provide technical mentorship and subject matter expertise to colleagues.

Key Responsibilities
  • Apply machine learning algorithms, including deep learning, gradient boosting, and random forests, to solve complex data science problems.
  • Design, implement, evaluate, validate, and proof MCP and RAG-based solutions.
  • Develop and evaluate agentic and generative AI solutions using large language models.
  • Work with unstructured data and apply appropriate data science and machine learning techniques.
  • Work directly with large language models and Transformer-based architectures, including BERT, RoBERTa, and T5.
  • Apply LLM technologies such as ChatGPT, GPT-3.5, Claude, and Mistral to develop innovative solutions.
  • Contribute to customer-facing product development and work closely with Machine Learning Engineers throughout the production lifecycle.
  • Mentor and train colleagues and serve as a subject matter expert in data science and AI technologies.
Required Qualifications
  • 8+ years of total professional experience.
  • 5+ years of recent Data Science experience.
  • 5+ years of recent experience with MCP, RAG implementations, evaluations, validations, proofing, agentic AI, generative AI, and unstructured data.
  • Experience building data science solutions for customer-facing products.
  • Experience working with Machine Learning Engineers throughout the production lifecycle.
  • Strong experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.
  • Hands-on experience with large language models and Transformer-based architectures, including BERT, RoBERTa, and T5.
  • Experience applying LLMs such as ChatGPT, GPT-3.5, Claude, and Mistral.
  • Strong programming and software development skills using Python or another programming language.
  • Demonstrated ability to mentor, train, and guide colleagues as a subject matter expert.
Position Requirements
10+ Years work experience
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