Define key business problems to be solved, formulate mathematical approaches and gather data to solve those problems, develop, analyze/draw conclusions and present
Create statistical and predictive models, use clustering and classification techniques and algorithms
Collaborate with different teams to understand the feature and define the Analytics requirements and KPIs
Well versed in mining industry technologies and trends.

Requirements :

3-5 years of experience in Data scientist and Business Analyst role, informatics, applied statistics or comparable field Experience in implementing analytical solutions using programming languages, such as R, Python, C++, Java and more, for solving analytics problems within engineering A deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms A keen desire to solve business problems, and to find patterns and insights within structured and unstructured data Able to propose analytics strategies and solutions that challenge and expand the thinking of everyone around them Perform exploratory data analyses, generate and test working hypotheses, prepare and analyse historical data and identify pattern Having basic SQL knowledge and skills, can write SQL queries for retrieving the data from the data repository database. Experience with Tableau preferred Excellent communication and presentation skills. Ability to work as part of a large team as well as independently. Understanding of Agile/Scrum methodology and working experience in Agile environment is strongly desired. Knowledge of software development processes and best practices

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En revanche SCIENTIST


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