Novo Portal de
Emprego das Tecnologias de Informa??o Empresas em Destaque |
We are searching for a Data Scientist to work directly in our Client a multinational telecommunications company. If you love to work with a large and varied datasets, develop predictive models and share insights within a community of colleagues across Advanced Analytics, probably the challenge we have is the right for you! Main Responsibilities: Test hypotheses, discover hidden relationships and provide actionable insights to the overall business; Design, develop & test analytic models to industrialise insight into operations to solve real business problems and enable an Advanced Analytics capability across the company; Use data visualisation to engage audience in a compelling way, enabling effective storytelling; Delivers key packages of work, on time and in a collaborative manner to meet the needs of business customers in a complex and fast-paced environment; Contribute to the development of self and others across the global analytics community, ensuring Advanced Analytics is always evolving and at the cutting edge. Main Requirements: PhD or Master's Degree in Machine Learning (Computer Science major is a plus); Previous experience (professional and/or academic) in Big Data analytics & deployment of models and algorithms to solve real-world problems (with deep statistical modelling expertise); Expertise in data manipulation: use of structured data tools (e.g., SQL), & unstructured (preferred) data tools and platforms (e.g., Hadoop, Spark, Hive, Kafka); Proficient in Machine Learning and Statistical libraries (e.g. R, Python SciPy & Scikit-learn, NLTK, MLlib) with a strong statistical modelling expertise; Proficiency in at least one relevant programming language: Python, R, Scala, Java, C++; Expertise in major statistical modelling software packages (e.g., R, SAS) and multivariate techniques (e.g. k-means segmentation, multiple regression, factor analysis, time-series forecasting); Experience in digital data sets, e.g., social listening, social network analysis); Familiarity with visualisation tools (e.g. Tableau, CartoDB, D3); Technically expertise and will to be constantly learning will; English language (spoken and written). If you fulfill the desired requirements, please send your CV to ---@--- with the ref. 16394. |
Pagina Principal Como Anunciar Contacto
|