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Data Scientist, Porto

Publicados 2022-04-21
Expira 2022-05-21
ID #965353460
Free
Data Scientist, Porto
Portugal, Castelo Branco, Porto,
Publicados April 21, 2022

Detalhes do trabalho

Tipo de emprego: Tempo total
Tipo de contrato: Permanente
Tipo de salário: Por mês
Ocupação: Data scientist


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Descrição

Data Scientist There's no secret on the rule for being number-one, it takes willingness to improve and determination to pursue it. At GRiT® it is all about the journey getting there. We trust talent and intelligence are important, yet passion and perseverance are key to achieving any goal. We are Tech Passionate People, with Purpose, delivering solutions while building strong long-term relations. People. Technology. Innovation. All-around it. Prove your grit and join our Team! Minimum qualifications: 2 years minimum of experience as Data Scientist, doing exploratory data analysis, testing hypotheses, and building predictive models Strong background in advanced mathematics, particularly in probability theory and statistics, data mining, and machine learning Proficiency in Python and proven experience using popular ML packages, and previous experience efficiently conducting research and creating ad hoc reports You must be able to think critically, to look at the big picture and spot what is missing, taking advantage of it to propose improvements and deliver business insights Be enthusiastic about DS and stay up to date with SOTA Machine Learning algorithms and developments Strong knowledge of data backup, recovery, security, integrity, and SQL Proficiency in English Ability to organize, autonomy, dynamism, pro-activity and teamwork Sense of responsibility Valued qualifications: Bachelor’s degree in Computer Science or similar Effective visual communicator – you can communicate complex problems to business and technology stakeholders using visual collaboration tools Background with Cloud Databases Apply: 

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    Grit Solutions
    Registrado em October 7, 2017

    Propaganda

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    Data Scientists analyze raw data by using statistical and mathematical techniques, and computing. This may include filtering and processing data to reach meaningful interpretations and conclusions; and creating solutions.


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