Data Scientist, Sales & Cargo Analytics

Overview of role 

As a Data Scientist at WestJet, you will help develop and grow our Sales and Cargo partnerships through technology, data, and applications, and play a central role in our data transformation journey. You will turn business problems into insights, automate and simplify data engineering processes, and design with the end user in mind. You will work independently and alongside a team of Data Scientists to build a sustainable, data-driven future. 

Key deliverables

Build automated systems that integrate a wide range of data sources and embed data science in business processes, delivering innovative insights that align performance with the company’s strategic goals 

Create decision support tools that enable leaders and system practitioners to take strategic action in a dynamic competitive environment 

Select the best methodologies to approach and solve business problems 

Automate routine tasks to improve productivity, aiming to eliminate the need for human intervention, and proactively identify opportunities to remove inefficiencies 

Contribute to system adaptation and migration strategy, and perform system administration tasks (user setup, system configuration) for all business unit applications 

Identify and conduct required testing efforts for business initiatives, and assist with testing for various stakeholder groups as appropriate 

Represent the business unit on large cross-business unit projects, proactively identifying potential risks or issues and proposing several plausible solutions for each 

Experience and qualifications 

Bachelor's degree in IT, Computer Science, Engineering, or equivalent experience 

Understanding of database management systems, data warehousing, online analytical processing (OLAP) and ETL (extract, transform, load) framework 

Strong proficiency in SQL and Python or R, plus experience with tools such as Snowflake, Shiny, Streamlit, and VBA 

Familiarity with: 

Supporting libraries such as Selenium and Scikit learn 

Visualization tools such as Tableau or PowerBI 

Version control systems such as Git 

Demonstrated debugging and testing skills during development 

Excellent communication and presentation skills and a unique ability to bridge the communication gap between executive and front-line audiences. 

Highly motivated, organized with the ability to work autonomously and within a team 

Airline industry experience considered an asset

Solid understanding of the underlying theory and principles of data science, machine learning, and artificial intelligence is considered an asset