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    Data Scientist - Plano, United States - Diverse Lynx

    Diverse Lynx
    Diverse Lynx Plano, United States

    6 days ago

    Default job background
    Description
    Data Scientist
    Relevant Experience(in yrs) 4-6
    San Antonio/ Phoenix/Plano

    Technical/Functional Skills


    • Build predictive models and machine-learning algorithms to Client insights, trends, and patterns.
    • Model Performance monitoring.
    • Model feature development.
    • bility to analyze/understand the model development life cycle from business perspectives and provide end to end data science consulting.
    • Experience of delivering machine learning models in AWS

    Skills:
    Python, AWS, Machine Learning Model Development, Validation, Model Performance monitoring

    Roles & Responsibilities


    • Partners with business team to understand business problems and objectives.
    • Conducts sophisticated analytics using predictive modeling, machine learning, simulation, optimization, and other techniques to deliver insights or develop analytical solutions to achieve business objectives.
    • Use large amounts of both structured and unstructured data (internal and external) to build AI/Client modeling solutions.
    • End-to end experience of model development life cycle including model performance monitoring and model feature development.
    • Provide Subject Matter Experts (SME's) support on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.
    • Works with IT to research architecture for new products, services, and features.
    • Strong analytical and communication skills.
    Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination.

    All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role.

    We promote and support a diverse workforce across all levels in the company.
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