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    Intern - Data Science Machine Learning Ops Engineer - Arlington, United States - Abs Data

    Abs Data
    Abs Data Arlington, United States

    4 weeks ago

    Default job background
    Description

    Job title:
    Intern – Data Science Machine Learning Ops Engineer


    Company:
    General Motors Financial


    Job description :
    Responsibilities

    Job Description

    Assist in evaluating, researching, experimenting with computational learning technologies in a lab to keep pace with industry innovation while assessing business impact and viability for use cases associated with efforts in hand

    Collaborate with statisticians, data engineers, application developers, and related groups to inform on and highlight capabilities of emerging technologies and to enable the adoption of these modern technologies, computational learning, and associated algorithms

    Work closely with statisticians, data engineers, application developers, other IT counterparts, and business partners to develop, integrate and deploy computational learning as part of applications

    Learn how developed system engineers on distributed systems engineering to enable future data science and practice

    Code, test, deploy, monitor, document and troubleshoot computational learning processing and associated automation

    Qualifications

    Qualifications


    Must be a current student pursuing a bachelor's degree or higher from an accredited college or university in Computer Science, Data Science, Data Analytics, Information Systems, Statistics with at least one semester remaining upon start of the internship.

    Must possess a minimum of a 3.0 (out of a 4-point scale) overall GPA.

    Junior or Senior classification preferred.

    Strong written and verbal communication skills required. This incumbent will be required to give presentations and communicate with business leaders.

    Experience with Oracle SQL/PL SQL Coding

    Exposure to SAS, Informatica, Unix Scripting

    Exposure to ETL Methodologies, Data warehousing Concepts

    Exposure to Data mining/analysis, Data governance and data architecture and reporting

    Strong analytical, quantitative, problem solving, and conceptual skills required.

    Must be detail oriented and able to prioritize tasks to meet deadlines.

    Must be able to work independently or in a team setting.

    Previous internships are considered a plus.

    Our Culture:

    Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging.

    Here we do more than work — we thrive.


    Compensation:
    Competitive pay


    Work Life Balance:
    Flexible hybrid work environment, 3-days a week in office

    GM Financial does not provide sponsorship for a work visa status for this position.

    If you are interested in any of the areas listed above, please apply here


    Expected salary :

    Location :
    Arlington, TX


    Job date :
    Thu, 02 Nov :47:34 GMT

    #Intern #Data #Science #Machine #Learning #Ops #Engineer

    Apply for the job now

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