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    Data Scientist V - San Diego, United States - BayOne Solutions

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    Description

    Title- Data Scientist V

    Read all the information about this opportunity carefully, then use the application button below to send your CV and application.

    Location-San Jose, CA

    Pay Rate- $70-85/hr on W2

    Interview- Video

    Required Skill Sets:

    • with scientific computing language and big data knowledge, including Python, SQL, Hive, Hadoop, Spark etc.
    • with common machine learning algorithms (SVM, KNN, logistic regression, random forest, XGBoost, Neural Networks, etc.)
    • and maintain Client/Stats models through the full model development lifespan: from data acquisition decisions through featurization, focusing labelling resources, model training, experimentation, productionalization, and monitoring.
    • skills in the application of scientific methods to practical problems through exploratory data analysis, hypothesis testing and data visualization to reach robust conclusions.
    • of statistical probability distributions, bias, error and power as well as sampling and resampling methods.
    • in the manipulation, integration, processing and interrogation of large datasets. Maintain data quality and support data access.
    • with source control tools such as GitHub and related CI/CD processes
    • to tackle ambiguous and undefined problems and thrive with minimal oversight and process.
    • to communicate and discuss complex topics with technical and non-technical audiences.

    Better to have or willing to learn:

    • data to inform strategic directions of safety signal development, aid in incident response, automate detection and enforcement, and provide intelligence on ecosystems.
    • and evolve Threat Detections metrics that measure the impact of our targeted enforcement.
    • comfortable with analyzing and telling stories of security, audit and network data, and understand the context of monitor systems and threat detection.
    • intelligence gathered to other safety stakeholders and executive decision makers.

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