Data Science Analyst - Mead, United States - Zyxware Technologies

    Zyxware Technologies
    Zyxware Technologies Mead, United States

    1 month ago

    Default job background
    Full time
    Description

    Role:
    Data Science Analyst


    Type:
    Full-Time Job

    Ideally a US Citizen or Green Card holder within the DMV area preferably.


    Position Summary :
    We are looking for an experienced Senior Data Science Analyst to lead our data science initiatives, leveraging expertise in Large Language Models (LLMs) and Python to
    drive data-driven decision-making. This role requires a deep understanding of data analytics, machine learning, and the ability to mentor junior analysts.


    Key Responsibilities :

    • Design and implement advanced data models and algorithms using LLMs and Python.
    • Conduct complex data analysis to extract actionable insights and inform strategic decisions.
    • Develop/oversee the creation of sophisticated data visualizations and analytical reports.
    • Lead cross-functional projects and collaborate with stakeholders to achieve data-centricsolutions.
    • Mentor junior data science team members and contribute to their professional growth.

    Required Qualifications :

    • Expertise in Python programming and experience with LLMs such as GPT-3 or BERT.
    • Strong analytical skills with the ability to interpret complex data.
    • Proficient in data analytics and machine learning tools and frameworks.
    • Excellent communication and leadership skills.
    • Proven track record of managing data science projects.
    • Demonstrated leadership in a data analytics environment.
    • Master's degree in Computer Science, Data Science, Statistics, or a related field OR Bachelors and 5 years professional experience in Data Science.
    • 3+ years of experience in a data science role, with a focus on LLMs and Python.
    • Currently possess or is able to obtain Public Trust clearance.

    Knowledge Preferred :

    • Advanced knowledge of statistical analysis, predictive modeling, and data mining.
    • Experience with cloud computing platforms and big data technologies.
    • Familiarity with Agile methodologies and project management tools.
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