Intermediate Data Scientist

at  WestJet

INTERMEDIATE DATA SCIENTIST - ADVANCED ANALYTICS

We are seeking a talented Intermediate Data Scientist to join the Advanced Analytics team. If you are passionate about data, have a proven track record of solving complex problems, and want to contribute to meaningful projects, we encourage you to apply.
As an Intermediate Data Scientist, you will play a crucial role in driving data-driven decision-making and delivering actionable insights. You will work collaboratively with senior data scientists and cross functional teams — including data engineers, product managers, and business stakeholders — to design, develop, and deploy advanced analytics solutions.

Key Responsibilities:

• Data Analysis: Conduct exploratory data analysis to identify trends, patterns, and opportunities within large and complex datasets.
• Model Development: Develop and implement predictive and prescriptive models using machine learning and statistical techniques to solve business problems.
• Feature Engineering: Create and engineer features from various data sources to improve model performance.
• Data Visualization: Collaborate with Technical Product Managers and Data Visualization Developers to communicate findings and insights effectively through data visualization tools and reports (Power BI and Tableau).
• Collaboration: Collaborate closely with the Senior Technical Product Manager and cross functional teams to define business problems, scope and success criteria, and translate them into advanced analytics solutions.
• Model Deployment: Deploy and monitor models in production, ensuring their performance and scalability.
• Community & Research: Keep current on data science and AI tools, techniques and best practices and provide advice to citizen data analysts/scientists and the community of practice.

QUALIFICATIONS:

• Bachelor’s Degree in Data Science, Mathematics, Statistics, Computer Science, or a related field with 3-5 years of relevant experience.
• Strong proficiency in SQL and Python is a must have — with expertise in machine learning libraries and frameworks. R and other similar languages would be an asset.
• Experience in predictive modelling, statistical analysis and machine learning techniques.
• Prior experience deploying AI models into production environments.
• Proven experience developing dashboards in Power BI or Tableau.
• Proficiency in cloud platforms (e.g., Azure ML Studio, Snowflake).
• Excellent problem-solving skills and the ability to work independently and collaboratively within a team.
• Strong communication skills, with the ability to convey complex findings and AI model outputs to both technical and non-technical stakeholders.

• Data Analysis: Conduct exploratory data analysis to identify trends, patterns, and opportunities within large and complex datasets.
• Model Development: Develop and implement predictive and prescriptive models using machine learning and statistical techniques to solve business problems.
• Feature Engineering: Create and engineer features from various data sources to improve model performance.
• Data Visualization: Collaborate with Technical Product Managers and Data Visualization Developers to communicate findings and insights effectively through data visualization tools and reports (Power BI and Tableau).
• Collaboration: Collaborate closely with the Senior Technical Product Manager and cross functional teams to define business problems, scope and success criteria, and translate them into advanced analytics solutions.
• Model Deployment: Deploy and monitor models in production, ensuring their performance and scalability.
• Community & Research: Keep current on data science and AI tools, techniques and best practices and provide advice to citizen data analysts/scientists and the community of practice