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    Senior Data Scientist - Wichita, United States - Knowmadics

    Knowmadics
    Knowmadics Wichita, United States

    2 weeks ago

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    Description
    This job was posted by : For moreinformation, please see:
    Job Purpose/Summary

    Work with our team of engineers, scientists and human factorsprofessionals to develop machine learning and other algorithmic datacapabilities for applications in cybersecurity, space, andtelecommunications.

    This individual contributor role will involvehands-on work developing solutions to real-world problems using neuralnetworks and other algorithms. Developed solutions are actively beingproductionized to support ongoing space operations and other crucialinfrastructure and security needs.
    Duties and Responsibilities

    Develop and evaluate machine learning solutions to interdisciplinaryproblems in cybersecurity and telecommunications, working withstructured (time series, tabular) and unstructured (text, 3D) data.

    Collaboratively develop data collection plans, designing experimentsto ensure quality and usefulness of data.

    Work with human factors specialists, and data/full stack engineersto define system requirements, review developed code, and supporttranslating statistical concepts to coworkers.

    Support documentation of analysis results for semi-technicalstakeholders.
    Occasionally support technical interactions with collaborators,including defining technical requirements for external datacollections, and reviewing technical work.
    Qualifications

    Minimum:
    Graduate formal education in natural sciences, mathematics,economics, statistics, psychology, or other quantitative field, ormix of formal education and experience.
    2+ years professional experience with an open-source data sciencestack (e.g., pandas, numpy, pytorch, keras, tensorflow, pymc3).
    2+ years professional experience working with real-world, complexdatasets.
    Experience communicating technical results to semi-technicalaudiences.

    Preferred:
    Exposure to a product-driven machine learning organization withdeployed customer-facing capabilities.
    Exposure to a big data environment, including tools for clusteredcomputing (e.g., Spark, Dask, streaming) and large-scale datastorage.
    Experience with RF/telecommunications physics, cybersecurity, orspace operations.
    Experience with software defined radio applications

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