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    Data Scientist - Hampton, United States - Input Technology Solutions

    Input Technology Solutions
    Input Technology Solutions Hampton, United States

    3 weeks ago

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    Description

    Job Description

    Job Description

    Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection to cancer research, to national intelligence — you know the answers are in the data.

    We have an opportunity for you to use your analytical skills to improve Air Force mission solutions. You'll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You'll develop data collection tools, data visualizations and dashboard, algorithms, and scripts to process data or conduct predictive analytics leveraging machine learning or other approaches. You'll use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help Air Force leaders make informed decisions. You'll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in aerospace mission solutions.

    You Have:

    • Experience working in a data governance or data scientist role
    • Knowledge of data governance practices and access control
    • Experience in managing access controls and permissions for data storage systems
    • Experience with Immuta or data security software
    • Experience with Databricks
    • Experience with data analytics tools and technologies, including Tableau or Power BI
    • Knowledge of agile methodologies and using an ecosystem of collaboration tools, including Confluence and Jira
    • Experience with scripting and scientific languages, including Python, R, C++, or Java
    • Experience with tools to manage data and databases, including Microsoft Excel, Access, SharePoint, or SQL
    • Experience with GIS Data
    • Knowledge of statistical measures, including confidence intervals and the significance of error measurements, mathematical modeling techniques, optimization approaches, or machine learning algorithm development
    • Top Secret clearance
    • Bachelor's degree

    Nice If You Have:

    • 6+ years of experience with applying machine learning techniques and the key parameters that affect their performance
    • 6+ years of experience with Big Data programming technologies, including Hadoop, Spark, R, or Hive
    • 6+ years of experience in working with a wide range of predictive and decision models and tools for developing models
    • Experience with using statistical software applications, including SAS, R, MATLAB, SPSS, or Stata
    • Experience with developing statistical and simulation models
    • Experience in natural language processing topics, including tagging, syntactic parsing, word sense disambiguation, topic modeling, contextual text mining, and application of deep learning to NLP
    • Experience with developing experimental and analytic plans for data modeling processes, using strong baselines, and determining cause and effect relationships accurately
    • TS/SCI clearance
    • Master's degree

    Clearance:

    Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.

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