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Data Scientist

Empresa

Sector

Servicios de Tecnologías de la Información

Segmento

Aplicaciones para Consumidores Finales

OPORTUNIDAD LABORAL

Breve descripción del cargo

Responsibilities ● Develop predictive modeling and machine learning solutions that continually improve with the collection of real-time customer results from the marketplace. ● Execute demand-based modeling, utilizing industry supply and demand data along with consumer shopping behaviors/trends. ● Work in an Agile environment with team members, delivering interim solutions quickly and continuously exploring ways to improve our results. ● Actively seek out new potential problems to solve, building out our future Roadmap while simultaneously executing our present analyses. ● Work closely with colleagues in Product, Operations, and Sales.

Habilidades requeridas

Requirements ● Strong background in Algebra, Calculus and Statistics - minimum of a Bachelor?s Degree in any of these fields. ● Knowledge of common Machine Learning algorithms and processes. ● Experience with previous Data Science/Machine Learning/AI projects. ● Advanced Experience coding with R, Python, and SQL languages. ● Knowledge on the following python libraries: numpy, scipy, scikit-learn, matplotlib, pandas. ● Knowledge on Theano, Tensor Flow or similar Neural Net python libraries will be a plus. ● Experience designing and implementing a broad range of Regression techniques. ● Familiarity with Amazon Web Services. ● Strong problem solving and analytical skills ● Good verbal and written communication skills in English. ● Able to work full-time?8 hours per day . ● Highly motivated and avid for new challenges. ● Eager to take part in the growth of an exciting new company. ● Looking forward to participate in the development and testing of cutting edge products.

Carga horaria

Full time

Rango de salario estimado (nominal mensual $)

Más de 50.000

Fecha de cierre de postulación

21/05/2017

Formación solicitada

Ciencias

Informática

Idiomas

Inglés: Intermedio

Ofimática

Operador Office (Ej. word, excel, power point): Avanzado

Bases de datos (Ej. MySQL, Postgres y bases de datos NoSQL): Avanzado

Programación (Ej. Web; .Net; PHP; MySQL; C++; Java): Avanzado

Sistemas estadísticos (Ej. SPSS, ATLAS): Avanzado

Descargá más información sobre esta oportunidad

Datascientist.pdf




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