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data science

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\nScrapinghub are looking for experienced individuals who are passionate about data science and enjoy working in a collaborative environment. You will get the chance to work with one of the most advanced and comprehensive web crawling and scraping infrastructures in the world, leveraging massive data sets with cutting edge technology.\n\nResponsibilities\n\n\n\n\n* You will apply your data science and engineering skills to analyze large volumes of complex data, model challenging problems, and develop algorithms to solve our internal and client needs.\n\n* You will work and experiment with state-of-the-art web crawling, data processing and machine learning technologies.\n\n* Some of the problems you’ll be working on include classification, named entity recognition, record matching of semi-structured data.\n\n* You will work in collaboration with other data scientists and engineers across Scrapinghub to design and build creative solutions to challenging problems.\n\n* You will work on projects that span the whole organization, including areas such as Product, Professional Services and Growth.\n\n\n\n\n\n\nRequired Skills:\n\n\n* Strong machine learning background (natural language processing, classification, computer vision, deep learning, etc.)\n\n* Hands-on experience in Data Science projects (data preparation, feature selection, target metrics, model evaluation, validation, etc.).\n\n* Strong coding ability, ideally in python.\n\n* Experience with any of these tools is a plus: sklearn, pytorch, tensorflow, theano, pandas, jupyter, spacy, gensim, vowpal wabbit, crfsuite, hadoop, spark, AWS.\n\n* Please send source code that shows your programming ability well. If you have many projects on github (or similar) please tell us which we should look at.\n\n\n

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