Data Scientist Job at Shrive Technologies LLC, Remote

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  • Shrive Technologies LLC
  • Remote

Job Description

Job Summary:

Basic Qualifications

  • Minimum 6 years of experience with building optimization algorithms or relevant experience.
  • Advanced proficiency in programming languages such as Python, R, SQL, and Java.
  • Demonstrated expertise in utilizing data visualization tools to communicate insights clearly and effectively.
  • In-depth experience with data science cloud platforms and their integration into business solutions.
  • Exceptional intellectual curiosity and a proven ability to thrive in a fast-paced, collaborative team environment.
  • Track record of rapidly acquiring new technical skills and adapting to cutting-edge technologies.
  • Strong communication skills to articulate technical concepts to diverse audiences with clarity and professionalism.
  • Deep understanding and application of statistical analysis and advanced machine learning techniques.
  • Must understand and have proficiency in the core architecture of LLMs (e.g., transformers and attention mechanisms)
  • Experience with prompt engineering techniques, including chain-of-thought prompting, Retrieval-Augmented Generation (RAG), fine-tuning of language models, and evaluation methodologies.
  • Experience with Vector Databases and embeddings.
  • Experience with Model Fine-tuning.
  • Experience with GPU optimization.



Preferred Qualifications

  • Bachelor's degree or higher in Operations Research, Computer Science, Industrial Engineering or a related field. Ph.D is a plus.
  • Knowledge of geospatial analytics, route optimization, and GIS concepts.
  • Previous hands-on experience with AI/Machine Learning frameworks and tools, showcasing innovative solutions.
  • Extensive background in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or Transportation industries, or in the High-Tech sector.
  • Proficiency in leveraging open-source libraries and frameworks to drive data science initiatives.
  • Seasoned in Agile methodologies like Scrum, Kanban, or SAFe for efficient project management and delivery at a senior level.

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