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 efficiency KPIs. These includes, without being limited to:
- Managing Data Sharing Programs (IDX, FDX, MCX and ADX)
- Supporting internal and external businesses in their data, reporting and dashboard needs
- Developing a coherent approach to data visualization and analysis
- Ensuring the availability, reliability, and quality of the data and related dashboards through continuous monitoring
- Adhering to data governance policies, quality standards and best practices
What your day would be like
Reporting to the Head of Data Quality and Analytics, you will be responsible for the application of data science techniques toward the collection, analysis, transformation, and modelling of aviation data for a variety of data projects.
- 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.
- Support team members in interpreting collected data and categorizing findings.
- Analyze large-scale structured and unstructured data; develop deep-dive analysis and machine learning models to drive member value and customer success.
- Apply advanced statistical methods such as regression analysis, clustering, factor analysis, time series analysis, and machine learning algorithms. Develop Generative AI and NLP models to uncover patterns and correlations within complex textual datasets.
We would love to hear from you if
- Preferably a master’s degree in data science, mathematics, engineering, physics or related discipline.
- Experience in Data Science or equivalent work experience in advanced ML, time series or deep learning algorithms for regression, classification, forecasting or clustering problems.
- Have over two years of experience in developing solutions and working with Python and SQL, including expertise in machine learning models, generative AI algorithms, and problem-solving at scale.
- Proficient in quantitative, statistical, and programming skills – including experience in data science and analysis as well as initial experience in machine learning in the form of developing analytical and predictive models.
- You have the passion for data processing, data analytics and complex operations and working experience with AWS EC2, S3, EMR, Sagemaker and Snowflake.
- Applied knowledge of statistical data analysis and visualization. Previous experience with Business Intelligence tools like Tableau or PowerBI is welcome.
- 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!
