Excellent knowledge of Data Science techniques especially in machine learning and NLP. Prior experience with Large Language Model is considered an asset
Extensive experience in data analysis, with the ability to work with large datasets and extract meaningful insights
Clean and transform raw data into a usable format for analysis. This includes designing and deploying Extraction Transformation and Load (ETL) processes
Produces data models according to specific problems statements
Knowledge and experience working in cloud environments
Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation
Ability to deliver presentation to both business and technical audiences
Solution-oriented and accuracy to detail
Ability to cope with fast changing technologies used in application developments
Job Requirements
Specific Expertise:
Minimum 5 years of professional experience in Data Science and AI. Excellent command of Python and proficiency with relevant libraries, including but not limited to NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, HuggingFace;
Minimum 5 years of professional experience in the following areas 1) Oracle RDMBS Database development, 2) Data Modelling and SQL; 3) ETL tools (e.g. BODI, BODS Apache Airflow, dbt);
Minimum 2 year of professional experience with data visualisation and/or BI tools (e.g. Power BI);
Track record of implemented solutions that solved business problems and produced tangible results
Minimum 2 year with cloud services (AWS, Azure, Google Cloud). Experience with Knowledge Graphs and SPARQL is an asset.
Minimum 2 years of experience with version control system (Git Hub)