Senior Data Scientist

The International Air Transport Association; Montreal; On-site; CAD 90,000 - 120,000; Full time

Job summary

A global aviation organization in Montreal is seeking a Data Scientist skilled in Python and SQL. The role involves applying complex techniques to analyze aviation data, build analytical tools, and develop machine learning models. Candidates should have a strong quantitative background and experience with AWS services. Join a team that values collaboration, innovation, and diversity in the aviation sector.

Benefits

Continuous learning opportunities

Flexible work options

Diversity, equity, and inclusion initiatives

Qualifications

• Over five years of experience with Python and SQL, including machine learning models.
• Experience with AWS services and open source LLM models.
• Excellent English communication skills to work with multiple stakeholders.

Responsibilities

• Analyze structured and unstructured aviation data.
• Build analytical tools using data pipeline for actionable insights.
• Develop Generative AI and NLP models to uncover text correlations.

Skills

Data processing

Python

SQL

Machine learning

Generative AI

Statistical analysis

Data visualization

AWS

Education

University or Master’s level degree in a quantitative discipline

Tools

Tableau

Power BI

AWS EC2

AWS SageMaker

Snowflake

Job description

Overview

Employment Type: Permanent

Contract Duration:

Why you will love working here

At IATA, we represent over 350 airlines worldwide, striving to make aviation safer, smarter, more sustainable, and inclusive.

• Our Values are not just words on a page - they are the energy behind everything we do: ONE IATA - We collaborate across teams, TRUSTED - We do the right thing, INNOVATIVE - We make tomorrow better, INCLUSIVE - We embrace diverse perspectives.
• With over 30,000 courses available, we believe in continuous learning and support your growth in an ever-changing industry.
• Diversity, equity, and inclusion are our priorities. We are certified by the Equal Salary Foundation, offering equal pay and family-friendly policies.
• We encourage community involvement through volunteering and strive to make tomorrow better for aviation and our communities. We offer time off so you can support causes important to you.
• We promote work-life balance with flexible work options, including remote and hybrid work, a generous point-of-sale policy, and you get your birthday off!

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, including 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 and adheres 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 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 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 analytics.

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.

We would love to hear from you if

Qualifications

University or Master’s level degree in a quantitative discipline (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, modelling, analytics, and experience with AWS EC2, S3, EMR, AWS SageMaker, open source LLM models 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. We are looking forward to hearing from you!