Data Scientist

• Collect business requirements and develop advanced data mining solutions.
• Identify, assess and deploy relevant existing data mining, machine learning and business intelligence solutions.

• Specification and design of presentation interfaces with optimal usability/user experience.
• Identify, collect, convert and update different data types/sets in several locations (e.g. ETL).
• Produce data models according to specific problems statements.
• Scripting and programming.
• Contribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions etc.).
• Write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies.

Requirements

• Bachelor degree in IT or related field with 11 years of professional experience.
• At least 3 years of experienced in NLP – Machine Learning.

• At least 4 years of experience with Python language.
• Knowledge of R and PERL.
• Excellent knowledge of Data Analytics techniques and tools.
• Proficient in continuous code delivery and unit testing.
• Good knowledge of business intelligence tools (Tableau, SAS, SAP, GoodData).
• Expertise in the ETL processes and tools (i.e. Talend Open Studio).
• Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL).
• Knowledge of architectural design and implementation of scalable modern data stores.
• Knowledge in Database Mining systems and in Big Data technologies.
• Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), sentiment analysis, topic detection, social media crawling and processing, plagiarism detection, trends/anomalies detection in datasets, recommendation systems.

• Experience with Oracle RDBMS and PL-SQL.
• Fluent in English at a level C2, French B2+ would be considered an advantage.