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    Data Science Intern - Parsippany, United States - PNY Technologies, Inc.

    PNY Technologies, Inc.
    PNY Technologies, Inc. Parsippany, United States

    2 weeks ago

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    Description

    Job Description

    Job Description

    MAIN FUNCTION:

    • Support the IT department by assisting with data analysis, data visualization, and predictive modeling using tools such as Excel, PowerBI, and PNY's BI/Data Warehouse. Collaborate with team members to develop and implement data-driven solutions. Candidate is expected to grow and become more self-managed with providing status updates and meeting deliverables that are defined at the scope of the project.

    QUALIFICATIONS:

    • Qualified applicants should be pursuing a Bachelor's degree or higher major in a technical field, including computer science, information technology, programming, statistics, or engineering.
    • Strong analytical and problem-solving skills.
    • Strong communication skills both verbal and written.
    • Familiar with data analysis tools and techniques, including Excel and PowerBI.
    • Experience with PNY's BI/Data Warehouse a plus.
    • Knowledgeable in programming languages such as Python or R.
    • Experience with machine learning algorithms and predictive modeling a plus.
    • Ability to work independently and in a team environment.
    • Ability to self-manage tasks and schedule.

    WORKING CONDITIONS:

    The work environment characteristics are representative of those an employee encounters while performing the essential functions of this job.

    DUTIES AND RESPONSIBILITIES:

    To perform this job successfully, the individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

    • Collect, clean, and analyze data using tools such as Excel, PowerBI, and PNY's BI/Data Warehouse.
    • Develop and implement predictive models and algorithms.
    • Create data visualizations to communicate findings to team members and stakeholders.
    • Collaborate with team members to develop and implement data-driven solutions.
    • Assist in other areas, as assigned.
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