Job Description

At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a Senior Data Scientist to join our UniQue team.

What will you be doing in this role?

• 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

What will you be bringing to the team?

• 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

At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look at our for more information.