This role will be dedicated to the AC Media business, which offers spaneting inventory to third party brands across a variety of channels, including AC’s unique in-flight entertainment channel.  This role owns underlying data models to support analytics and activations, supports ownership on campaign taxonomy and measurement plans, and implements performance measurement dashboards.  The incumbent will be responsible for analyzing transactional, POS, interaction and third-party data to generate deep insights; utilize statistical learning techniques to glean patterns and opportunities in the shopper and consumer landscape; create targeted audiences; and use various modeling techniques to make predictions about consumer behavior 

Responsibilities: 

Lead data gathering, analysis, visualization, and data-driven storytelling as a basis of project justification and innovation. It is imperative that sound data analytics is at the core of all Data Science projects and recommendations. Design and create customer scoring models across product, content, and offer channels with affinities to CLV modelsManage testing and maintenance of data science solutions Oversee development of spaneting A/B test designs, metrics definitions for success & implementation of the tests.  Lead presentation of the statistical findings and proactively propose solutions for continuous improvements. In collaboration with Marketing/Operations resources, oversee appropriate tagging and deployment and development of performance tracking. Own and lead statistical/machine learning projects as necessary for given business needs. These projects may consist of – large scale/rapid hypothesis testing, classification, prediction, and recommender systems. Develop dynamic, productionized, and scalable propensity models that generate ROI for AC Media clientsAbility to perform analysis on various datasets, from various environments, including clickstream and online behaviorConduct strategic analyses with the know-how to balance getting the details right, while still moving at the speed of businessTranslate and break apart day-to-day business challenges into manageable segments for data science applicationEnhance data collection procedures to include information that is relevant for the build of analytical solutionsProcess, cleanse, and verify the integrity of data used for analysis and modeling Develop automated processes for large scale data analysisProvide technical guidance to junior members of the team

MS in Data Science, Applied Statistics, Mathematics, Computer Science, Economics or related applied quantitative field preferred5+ years hands-on industry (non-academic) experience in Data Science (or equivalent quantitative job title) with applications in the commercial worldStrong background in applying statistical machine learning techniques to predictive modeling and experience with Machine Learning libraries (via Python, Spark, R, H2O, etc.)Must have proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data setsFamiliarity with CSP/Cloud environments such as AzureExperience with Big Data technologies desired — Hadoop, Spark, H20.ai, Cloud AI platforms, Snowflake, containerization and DS pipeline managementExperience with regularized regression, random forest, boosting methods, and other statistical/machine learning methodsExperience ingesting and manipulating large volumes of data (both tall and wide)Strong presentation and communication skills, with the ability to explain complex analytical concepts to people from other fieldsExperience with data visualization tools PBI, Tableau, etc.Proficiency in using query languages such as SQL, Hive, Pig Good scripting and programming skills

Candidates must be eligible to work in the country of interest, at the time any offer of employment is made and seeking any required work permits/visas or other authorizations which may be required is the sole responsibility of the candidates applying for this position.

Based on equal qualifications, preference will be given to bilingual candidates.

Air Canada is strongly committed to Diversity and Inclusion and aims to create a healthy, accessible and rewarding work environment which highlights employees’ unique contributions to our company’s success.

Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.