Data Scientist

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

The 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 the data warehouse.
• Adhering to data governance policies, quality standards and best practices.

What your day would be like

Reporting to the Head of Data Insights & Advanced Analytics, you will be responsible for the application of complex data science techniques toward the collection, analysis, transformation, and modeling of aviation data for a variety of data projects. This role is also involved in analyzing data from Flight Data Exchange, Incident Data Exchange, and Maintenance Cost Exchange programs. You will identify patterns, detect anomalies, and prepare different types of recommendation and forecasting models.

• Create and maintain optimal data pipeline, including algorithms and prototypes, to interpret trends and patterns and prepare data for prescriptive and predictive data modeling.
• 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.
• 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 large-scale structured and unstructured data; develop deep-dive analysis and machine learning models to drive member value and customer success.
• Support team members in interpreting collected data and categorizing findings.
• 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. Obtain topics, perform taxonomy matching, and conduct text classification based on text categories.

We would love to hear from you if:

• University or Master’s level degree in a quantitative discipline (e.g., Statistics, Economics, Applied Mathematics, Operations Research, Computer Science, Informatics, Engineering).
• Over five years of experience with Python and SQL, including machine learning models, generative AI algorithms, and large-scale problem-solving.
• Passion for data processing, modeling, analytics, and experience with AWS EC2, S3, EMR, and Snowflake.
• Proficient in root cause analysis on data and processes to answer business questions and identify improvement opportunities.
• Applied knowledge of statistical data analysis and visualization, with experience in BI tools like Tableau or Power BI.
• Excellent English communication skills, ability to work with multiple stakeholders, understand product priorities, and solve core problems efficiently. Experience with aviation data is a plus.

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!