Senior Data Scientist

• Collect business requirement and develop advanced data mining solutions or identify, assess and deploy relevant existing data mining, machine learning and business intelligence solution
• 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)
• Produces 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

Do you have experience in Usability?, Do you have a Master's degree?, * Master's degree and 11 years of experience or Bachelor's degree and 15 years of experience

• Minimum 4 years of specific expertise with robust back-end application development with Python
• At least 2 years of specific expertise with ETL workflows for batch and streaming processing, document ingestion and parsing of multiple formats, such as PDF, Docx and HTML
• No less than 4 years of specific expertise with SQL RDBMS or equivalent (e.g, PostgreSQL, MySQL)
• Minimum 4 years of specific expertise with RESTful API design principles, OpenAPI/Swagger documentation, async endpoint development, streaming endpoints, production grade logging/monitoring
• At least At least 1 year of specific expertise with Azure Functions, Azure AI Search, Azure Blob storage
• 1 year of specific expertise with vector databases and semantic search technologies, such as embedding models, hybrid search algorithms, indexing and reranking techniques
• Excellent knowledge of Data Analytics techniques and tools
• Experience in Machine Learning and Natural Language Processing
• Experience with languages like R, Python, PERL
• 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 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
• Proficiency in English