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.

What will you be doing in this role?

• Interact with business stakeholders and with IT teams;
• Have strong participation in business and/or functional working groups, progress meetings and meetings with the stakeholders (IT and business);

• Collect business requirement and develop advanced data mining solutions or identify, assess and deploy relevant existing data mining, machine learning and business intelligence solutions;
• Execute 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);
• Produce data models according to specific problems statements;
• Perform 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 Degree in IT or related field and 13 years of professional experience in IT.
• Excellent knowledge of Data Analytics techniques and tools.
• Experience with languages like R, Python, PERL.
• Proficient in continuous code delivery and unit testing.
• 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 of R-Studio infrastructure is an asset.
• Experience in developing interactive R / Python dashboards using packages like Shiny, Dash or similar is an asset.
• Experience in developing R / Python functions to perform linear algebra calculations with data frames and arrays, ensuring efficient manipulation of data is an asset.
• Experience in using the following libraries (or equivalents) is an asset: Data Management: Pandas (tidyverse and dplyr for R), Numpy; OR Data Visualizations: at least one among Matplotlib, Seaborn or Plotly (ggplot2 for R).
• Fluent in English at least at a level B2.

Benefits

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 Diversity, Equality & Inclusion Policy for more information.