{"id":3895108,"url":"https://alion.io/job/westjet-data-scientist-sales-cargo-analytics","title":"Data Scientist, Sales & Cargo Analytics","company":{"id":1761923,"name":"WestJet","domain":"westjet.com","url":"https://alion.io/company/westjet-com","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"B","score":80,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Calgary, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Selenium","optional":false},{"name":"Shiny","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Tableau","optional":false},{"name":"R","optional":true}],"status":"live","first_seen_at":"2026-11-06T06:00:00Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-09T20:05:54Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Overview of role \n\nAs 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. \n\nKey deliverables\nBuild 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 \nCreate decision support tools that enable leaders and system practitioners to take strategic action in a dynamic competitive environment \nSelect the best methodologies to approach and solve business problems \nAutomate routine tasks to improve productivity, aiming to eliminate the need for human intervention, and proactively identify opportunities to remove inefficiencies \nContribute to system adaptation and migration strategy, and perform system administration tasks (user setup, system configuration) for all business unit applications \nIdentify and conduct required testing efforts for business initiatives, and assist with testing for various stakeholder groups as appropriate \nRepresent the business unit on large cross-business unit projects, proactively identifying potential risks or issues and proposing several plausible solutions for each \n\nExperience and qualifications \nBachelor's degree in IT, Computer Science, Engineering, or equivalent experience \nUnderstanding of database management systems, data warehousing, online analytical processing (OLAP) and ETL (extract, transform, load) framework \nStrong proficiency in SQL and Python or R, plus experience with tools such as Snowflake, Shiny, Streamlit, and VBA \nFamiliarity with: \nSupporting libraries such as Selenium and Scikit learn \nVisualization tools such as Tableau or PowerBI \nVersion control systems such as Git \nDemonstrated debugging and testing skills during development \nExcellent communication and presentation skills and a unique ability to bridge the communication gap between executive and front-line audiences. \nHighly motivated, organized with the ability to work autonomously and within a team \nAirline industry experience considered an asset \nSolid understanding of the underlying theory and principles of data science, machine learning, and artificial intelligence is considered an asset","description_format":"text","description_chars":2566,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Air Transport"],"lifecycle":[{"event":"open","at":"2026-11-06T22:55:49Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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