Senior Data Scientist

16 hours ago

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Uni Systems

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IT

Uni Systems is an information and communication technology (ICT) company that specializes in providing innovative IT solutions to various industries. With a focus on digital transformation, Uni Systems offers services in infrastructure and operations, cloud and data center technologies, cybersecurity, enterprise solutions, and big data analytics. The company harnesses the power of emerging technologies and artificial intelligence to drive innovation and transform modern businesses. Uni Systems works closely with sectors such as banking, government, telecommunications, healthcare, and retail to deliver strategic and cutting-edge ICT solutions. Their commitment to sustainability and digital ethics underscores their mission to use technology as a transformative force for business growth and societal improvement.

1001 - 5000 employees

Founded 1964

📋 Description

• 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

🎯 Requirements

• 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.