Data Scientist - Montréal, Canada - International Air Transport Association (IATA)

Sophia Lee

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Sophia Lee

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Description

Employment Type:
Permanent


Contract Duration:


At IATA, we speak for the airlines of the world, serving and supporting over 300 of them across all continents.

We are passionate and knowledgeable about the aviation industry, and we strive to make it safer, smarter, more sustainable and more inclusive.

We celebrate diversity and inclusion in our workforce, and we respect and value the different backgrounds, perspectives and skills of our employees.

We also care about our employees' wellbeing, and we provide flexible work arrangements, travel benefits, family-friendly policies, equal pay and a day off on your birthday.

We believe in giving back to the community and encourage our staff to participate in volunteering activities that support causes they care about.

We encourage you to join our global community of aviation enthusiasts, and we will do our best to make you feel comfortable during the interview process.

IATA is more than a trade association; it is a vision of a better future for air travel.

About the team you are joining


Global Aviation Data Management (GADM) team is responsible for the development, implementation and support of data solutions needed to monitor safety, operational and capacity KPIs.


These include, without being limited to:

  • Managing Data Sharing Programs (IDX, FDX, MCX and ADX).
  • Supporting OSS lines of business in their data, analysis, reporting, and dashboard needs.
  • Ensuring the availability, reliability, and quality of the data through performance tuning and continuous monitoring.
  • Identifying and driving process improvement opportunities to optimize performance of data warehouse.
  • Adhering to data governance policies, quality standards and best practices.
What your day would be like

  • We expect you to create and maintain optimal data pipeline, including algorithms and prototypes, so you can interpret trends and patterns and prepare data for prescriptive and predictive data modeling.
  • You will build analytical tools that utilize the data pipeline, transform, and load new data sets, to provide actionable insights while maintaining the data secure and accessible.
  • You may code new programs for ad hoc reports, custom products, and new production jobs while maintaining, improving, and executing existing Python/PySpark models and SQL and/or no SQL scripts.
  • Analyze largescale structured and unstructured data; develop deepdive analysis and machine learning models to drive member value and customer success
  • Support team members in interpreting collected data and categorizing findings.
We would love to hear from you if

  • MS or PhD in a quantitative discipline: Statistics, Economics, Applied Mathematics, Operations Research, Computer Science, Informatics, Engineering, etc.
  • You have the passion for data processing, data modelling, analytics and complex operations and working experience with AWS EC2, S3, EMR and Snowflake.
  • You have experience in performing root cause analysis on internal/external data and processes to answer specific business questions and find opportunities for improvements.
  • Applied knowledge of statistical data analysis and visualization. Previous experience with Business Intelligence tools like Tableau or PowerBI is welcome.
  • Experience telling stories with data and visualization tools
  • Have over five years of experience in developing solutions and working with Python and SQL, including expertise in machine learning models, generative AI algorithms, and problemsolving at scale.
  • Ability to work with multiple stakeholders, understand the product priorities, think with the big picture, and solve core problems in the most efficient way
  • Excellent communication skills in English (a must). Experience with aviation data (an asset).

Travel Required:
N


Learn more about IATA's role in the industry, our benefits, and the team at iata/careers/**. We are looking forward to hearing from you

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