Data mining or extracting usable data from valuable data sources.
Using machine learning tools to select features, create and optimize classifiers.
Processing, cleansing, and validating the integrity of data to be used for analysis.
Analyzing large amounts of information to find patterns and solutions.
Develop timeseries forecasting models using machine learning algorithm.
Developing prediction systems and machine learning algorithms.
Building a strong partnerships with sponsors, clients and vendors to validate business flows.
Apprising the product owners on delivery status, identify associated delivery risks, dependencies along with detailing and quantifying impacts.
Doing investigations related to business flow anomalies.
Providing a key interface to the IT team to communicate data patterns possessing.
Develop presentations that clearly explain both the data science process and the results to technical and non-technical audiences of project managers, clients, sponsors and vendors.
Ability to communicate and document findings in a structured manner
Competency Requirements :
Master’s degree in software / computer engineering (Bac+5) or Equivalent experience (asset)
Bilingualism is an asset (English / French).
1-2 years work experience in data science (analysis, data mining, time series analysis, machine learning, projections and estimates, business intelligence).
Advanced skills in Microsoft excels include designing spread sheet models, implementing macros and connecting with external data sources.
Database query using SQL, Experience in SAS Enterprise Guide is a plus.
Experience in solution development using at least one of the following programming languages: SAS and / OR Python.
Knowledge of leading Machine Learning libraries such as PyTorch and TensorFlow (or ability to build Machine Learning models) is a plus.
Knowledge of pandas, scipy, numpy for data analysis, model building and forecasting in python.
Ability to work efficiently within a development team in an Agile organization.
Ability to efficiently work in virtual teams during conventional (EST) business hours using conference calls and online conferencing utilities (e.g. WebEx, BETC).