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Data Scientist

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: Quantum Technologies. LLC
Full Time position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Manufacturing,Banking & Finance,Government,Telecom,Oil & Gas,IT/Software

Work Authorization:

Important Skills

Technical – LLMs, RAG, ML/AI engineering
Soft—good communication/very collaborative

Must Haves:
  • -3+ years of data scientist experience (working with different LLM tools, RAG implementations/evaluations, etc)
  • -Strong Python programming skills
  • -Experience/exposure maintaining production support alongside a team of Software Engineers
Plusses:
  • -Strong promotional track/tenure in experience
  • -Large enterprise experience
  • -Strong education/multiple degrees
CLIENT DAY TO DAY:

As a Senior Data Scientist llI, you will leverage your advanced analytical skills to extract insights from complex datasets. Your expertise will drive data-driven decision-making and contribute to the development of innovative solutions. You will collaborate with cross-functional teams to enhance business strategies and drive growth through actionable data analysis.

RESPONSIBILITIES
  • Experience with machine learning algorithms, including deep learning, gradient boosting, and random forests
  • Possess knowledge and skills in a senior data scientist position
  • Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
  • Experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
  • Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
  • Experience with coding skills in Python or another programming language
  • Be experienced in mentoring, training, and acting as a subject matter expert to guide colleagues.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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