Data Scientist/AI Engineer - New York - Arctiq, Inc.

    Arctiq, Inc.
    Arctiq, Inc. New York

    1 week ago

    Description

    Company Overview:
    Arctiq is a leader in professional IT services and managed services across three core Centers of Excellence: Enterprise Security, Modern Infrastructure and Platform Engineering. Renowned for our ability to architect intelligence, we connect, protect, and transform organizations, empowering them to thrive in today's digital landscape. Arctiq builds on decades of industry expertise and a customer-centric ethos to deliver exceptional value to clients across diverse industries.
    Position Overview:
    We are seeking a Data Scientist to transform raw data into actionable intelligence. This role sits at the intersection of classical statistics and modern AI, focusing on building end-to-end models within the Azure ecosystem to drive business value.
    This is a 3-month contract opportunity at 25 hours per week.
    Responsibilities:

    • Model Development: Build, validate, and deploy statistical and AI models to solve complex business problems.
    • Feature Engineering: Design and refine predictive features, ensuring data quality and model interpretability.
    • Azure Ecosystem: Leverage Azure Machine Learning and Microsoft's suite of data services to scale model training and deployment.
    • Insight Synthesis: Apply statistical rigor to analyze data trends and communicate findings to non-technical stakeholders.
    Qualifications:
    • Foundations: Strong background in Statistics and Data Analytics.
    • Programming: Advanced proficiency in Python (Pandas, Scikit-learn, etc.) and SQL.
    • Environment: Experience navigating the Microsoft Azure data stack (Synapse, Azure Data Factory, or Azure ML).
    Arctiq is an equal opportunity employer. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply.

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