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    Data Scientist - Austin, United States - VICTORY

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    Description
    About the Data Scientist position

    We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance.

    You will build data products to extract valuable business insights, analyze trends and help us make better decisions.


    We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research.

    Critical thinking and problem-solving skills are also required.


    Data Scientist responsibilities are:
    Research and detect valuable data sources and automate collection processes

    Perform preprocessing of structured and unstructured data

    Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON)

    Review large amounts of information to discover trends and patterns

    Create predictive models and machine-learning algorithms

    Modify and combine different models through ensemble modeling

    Organize and present information using data visualization techniques

    Develop and suggest solutions and strategies to business challenges

    Work together with engineering and product development teams

    Data Scientist requirements are:

    3+ years' experience of working on Data Scientist or Data Analyst position

    Significant experience in data mining, machine-learning and operations research

    Experience with data modeling, design patterns, building highly scalable and secured solutions preferred

    Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines

    Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC)

    Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset

    MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred
    Must be a U.S. Citizen

    #J-18808-Ljbffr

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