Data ScientistPrimary functions: data acquisition method development and design, scientific data quality management, reference and master data management, data integration, data governance, exploratory data analysisJob Responsibilities: Data modeling, physical source data models, data profiling reports, data quality control, data definitions, data taxonomy, data metrics, meta-data, data cleansing servicesActivities: data modeling, data audit, detailed data design, define rules, establish master data solutions, define hierarchies and affiliations, distribute reference and master data, profile, analyze, assess data quality, design data quality management procedures working closely with Business and Data quality organization in Paris, perform exploratory data analysis to identify trends and patterns in data, communicate data findings to stakeholders, clean and correct data quality defectsSoft Skills:CollaborativeAnalyticalSelf-starterProficient in English (written & oral)Critical ThinkingEmploy judgment to offer thoughtful, concise input toward resolutions of problemsStrong communication and interpersonal skillsCollaboratorTechnical Skills:Be able to translate data requirements into business processes and reverse engineer business processes into data requirementsComprehension of DevOps and Agile development and application to data centric architecture and data analysis solutionsExpert in data modeling (physical and logical), ER diagrams, data dictionary, data map, normalize/denormalize, agile data modelingExpert in data manipulation toolsPractical skill sets in BI and Data visualization toolsKnowledge of other programming languages and ability to write code (i.e.