- 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.
- 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 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.
- 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 problem-solving 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).
Data Scientist - Montreal, Canada - The International Air Transport Association
Description
Employment Type: Permanent
Contract Duration:
At IATA, we speak for the airlines of theworld, serving and supporting over 300 of them across all continents. Weare passionate and knowledgeable about the aviation industry, and we strive tomake it safer, smarter, more sustainable and more inclusive. We celebratediversity and inclusion in our workforce, and we respect and value thedifferent backgrounds, perspectives and skills of our employees. We also careabout our employees' wellbeing, and we provide flexible work arrangements,travel benefits, family-friendly policies, equal pay and a day off on yourbirthday. We believe in giving back to the community and encourage our staff toparticipate in volunteering activities that support causes they care about. Weencourage you to join our global community of aviation enthusiasts, and we willdo our best to make you feel comfortable during the interview process. IATA ismore than a trade association; it is a vision of a better future for airtravel.
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:
What your day would be like
Reporting to the Head of Data Quality & Analytics, you will be responsible for the application of complex data science techniques toward the collection, analysis, transformation, and modelling 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. Identify patterns, detect anomalies, and prepare different types of recommendation and forecasting models.
We would love to hear from you if
Travel Required: N
Learn more about IATA's role in the industry, our benefits, and the team at . We are looking forward to hearing from you