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Data Scientist (m/f)


QiBit Portugal
Data:22-9-2017  Local: Lisboa

QiBit is the company dedicated exclusively to the field of Information and Communications Technologies (ICT), belonging to Gi Group, one of the world’s leading companies providing services for the development of the labour market.

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.




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