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Data Scientist

TechDigital

  • Fort Worth, TX
  • 30+ days ago

    Highlights

    Experience with prompt engineering techniques, including chain-of-thought prompting, Retrieval-Augmented Generation (RAG), fine-tuning of language models, and evaluation methodologies. Extensive background in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or Transportation industries, or in the High-Tech sector.

    Numbers & Facts

    LocationFort Worth, TX
    IndustryOther/Not Classified
    Company Size100 to 499 employees

    Description

    Job Summary:

    Mandatory Skills:     Machine Learning and Deep Learning experience

    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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