Advisory

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  • Case "advisory" para iphone 6plushacemos envíos a todo el perú via olva courierentregas: centro civico-rambla de brasilprecio de remate: s/

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  • Colores blanco y negro disponibles.

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  • Un nuevo estilo juvenil y proteccion contra el solstock disponible en blanco y negro

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  • • advisory skills fecha de contratación: 18/02/2021 cantidad de vacantes: 1 requerimientos educación mínima: universitario años de experiencia: 6 idiomas: inglés disponibilidad de viajar: si disponibilidad de cambio de residencia: sisolid problem-solving skills: ability to identify problems and suggest mitigating and contingency actions • expert ability to work independently and manage one's time • ability to deal with ambiguous situations • committed and positivesoft skills: • team worker; ability to work with teams • proactive, motivated and willing to consolidate and develop a professional career • analytical, logical and critical thinkingwe are looking for a data scienceour website offers companies advanced tools for the management of selection processes and provides professionals with access to new employment opportunities, with more than 100 million visits per month and more than 1000 million page views) • familiarity with linux or other unix-based operating systemsyour main responsibilities: • extraction y selection of different features, building and optimizing classifiers using machine learning • enhancing data pipelines • processing, cleansing and verifying data integrity used for the analysis processes • creating automated ml-systems and constant performance tracking you will bring: • university degree in mathematics, computer science, physics or similar • strong experience in machine learning (svm, knn, naive bayes, random forests) • experience with frameworks like matplotlib, scikit, pandas, tensorflow, keras (python stack) • proficiency in using query languages such as sql • knowledge of natural language processing • good applied statistics skills, such as distributions, statistical testing• proficiency in python desirable but not mandatory skills: • knowledge on big data tools (hadoop, hive, nosql, spark

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