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    Solutions Architect - Irving, United States - InfoVision Inc.

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    Accounting / Finance
    Description

    Title: Proactive Engine Architect/Analyst

    Location: Irving, TX

    Duration: Long term

    We are seeking a highly motivated and skilled Senior Analyst & Solution Architect to join our team and play a pivotal role in building a cutting-edge proactive engine solution.

    This platform will be instrumental in identifying customer churn risks, optimizing user journeys, and ultimately enhancing customer satisfaction.

    Responsibilities:

    • architect, and guide the team in building a robust, AI and rules driven solution.
    • with data scientists and engineers to develop algorithms that analyse diverse datasets including system data, application logs, and customer interactions.
    • to connect the dots by identifying trends and anomalies within the data to predict potential customer issues and churn risks.
    • and implement machine learning models to suggest root cause analyses and proactive solutions.
    • and document technical specifications for the solution architecture.
    • collaboratively with stakeholders across various areas to ensure seamless integration and implementation.
    • monitor and evaluate the performance of the proactive engine, refining and optimizing as needed.
    • be willing to be hands-on and lead by example when the situation demands it
    • up-to-date on the latest advancements in AI, machine learning, and data analytics.

    Qualifications:

    • 5+ years of experience in Python programming, data analysis and solution architecture.
    • track record of designing and implementing complex data-driven solutions.
    • in BigQuery, including data modeling, querying, and scripting.
    • analytical skills with the ability to identify patterns and trends in large datasets.
    • with machine learning concepts and familiarity with applying them to real-world problems (a plus).
    • communication and collaboration skills to work effectively with cross-functional teams.
    • passion for innovation and a desire to build solutions that drive business value.
    • with Google Cloud Platform (GCP)
    • developing and deploying machine learning models
    • in a customer-centric environment

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