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Data Scientist

  • Full Time, onsite
  • KE Staffing
  • Hybrid2-3 days onsite per week, United States of America
Salary undisclosed

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  • Bachelor's or Master's degree in a quantitative field.
  • Proven experience in data analysis, statistical modeling, and machine learning techniques.
  • Proficiency in Python for data analysis and visualization, along with experience in working with APIs, Linux OS, databases, big data technologies, and cloud services.
  • Strong understanding and experience with NLP, Generative AI, and LLMs.
  • Excellent communication skills, with the ability to convey complex findings to both technical and non-technical stakeholders.
  • Experience in business analysis and working in an Agile framework.
  • Prior experience in the financial industry is preferred.
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