Data Scientist

Requirements/Accountabilities:

• 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).