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Data Scientist

at, inc.

Posted: 8/24/2019
Job Reference #: 709174
Keywords: technical

Job Description

  • LocationUS-WA-Seattle
    Posted Date1 year ago(8/26/2018 5:11 AM)
    Job ID
    Amazon Web Services, Inc.
    Position Category
    Data Science
    Company/Location (search) : Country (Full Name)
    United States
  • Job Description

    Would you like to be part of a team focused on improving customer experience as well as helping Amazon save lots of money? Are you passionate about data?

    As a Data Scientist with Global IT’s Finance Business Operations team, you will be working in a large, extremely complex, and dynamic, data-driven environment. We are looking for a data scientist with expertise and passion for analyzing data, designing and building predictive and decision models, and designing metrics to measure the performance of the business. You will interact with business groups that rely on the metrics and the decisions produced using predictive models.

    Key responsibilities of the role include:
    Interface with business customers, gather requirements, and deliver complete reporting solutions
    Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
    Develop a deep understanding of our vast data sources and know exactly how, when, and which data to use to solve particular business problems
    Work with internal stakeholders to root cause identified defects

    Basic Qualifications

    Bachelor's degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering, or similar
    Demonstrated ability in data modeling, ETL development, and data warehousing
    Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams.
    Experience with Big Data

    Preferred Qualifications

    Industry experience as a Data Scientist or related specialty (e.g., Software Engineer, Business Intelligence Engineer), with a track record of manipulating, processing, and extracting value from large datasets
    Coding proficiency in at least one modern programming language (e.g. Python, Java, Scala)
    Experience building data products incrementally, and integrating and managing datasets from multiple sources
    Linux/UNIX including to process large data sets.
    Strong ability to interact, communicate, present, and influence within multiple levels of the organization
    Master's degree
    Excellent communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions