Data Scientist

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

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
• Specify 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.
• Responsibility for 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.

What will you be bringing to the team?

• Hold a Bachelor's degree & 9 years of professional experience in IT OR Master's degree & 5 years of professional experience in IT. (The experience cannot overlap with studies).
• At least 4 years of working expertise with Power BI and SQL databases (e.g. PostgreSQL, MySQL, SQL Server, Oracle, etc).
• Minimum 3 years of working with RESTful APIs.
• No less than 2 years of hands-on experience with Python (other languages likee R, PERL are considered an advtage).
• Minimum 2 years of experience with sensitive data and handling of sensitive data.
• Excellent knowledge of Data Analytics techniques and tools.
• Experience in Machine Learning (ML) and Natural Language Processing (NLP).
• Proficient in continuous code delivery and unit testing.
• Comprehension of business intelligence tools (Tableau, SAS, SAP, GoodData, etc)
• Expertise in the ETL processes and tools (i.e. Talend Open Studio…)
• Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop)
• Knowledge of architectural design and implementation of scalable modern data stores.
• Good understanding of 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 language at a minimum B2 level .

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.