You will be part of the highly talented individuals team responsible for bringing the Air Transport Industry data to the next level. Your day by day will include working with Data Models, extracting and digging into different datasets coming from Airports, Airplanes, and Ground Handlers, to understand it and get insights using ML and AI techniques. Among all the data of the industry, we are planning to train ML Models so we can make this industry more reliable and easier to operate. We at SITA are the biggest Tech Service provider worldwide for the Air Transport Industry. We have tons of data and now we want to make use of it to make our customers’ lives easier!
We are looking for a Data Scientist to join the Central Data Platform Team and design, develop, and maintain reference data models and explore how to get better insights out of the huge amount of data we have on our data sets. The goal then is to move towards more complex models and AI-based systems that can eventually automate some of the operational tasks in the industry.
WHAT YOU WILL DO:Design, train, and validate statistical and machine learning models and help deploy them into production.
Collaborate with our product colleagues, data architects, analysts, and business stakeholders across the Air Transport Industry to translate requirements into technical solutions.
Explore and apply modern technologies (e.g., Databricks, AzureML, LLMs) to enable advanced analytics and AI/ML use cases (use-case driven).
Evaluate LLMs performance, conduct error analysis, and iterate to improve accuracy, fairness, and reliability.
Participate in research and innovation, bringing new ideas to the team and helping expand our technical and scientific knowledge.
Be an active participant in product development conversations, proposing new features and providing the data science perspective in everything we build.
Be a technical reference within the team, fostering growth and promoting best practices.
ABOUT YOUR SKILLS:
Master’s degree in Data science, Computer Science, Mathematics, Physics, or equivalent proven experience.
4‑5 years of hands‑on experience in applied data science on an enterprise ecosystem, with focus on machine learning ML techniques and natural language processing NLP with focus on LLMs.
Strong understanding of:
Supervised and unsupervised learning applied to ML.
Time series forecasting.
Optimization techniques (basic linear programming or heuristics is a plus).
Model evaluation and validation frameworks.
LLM:
Develop of automatic translation pipelines based on agents using LLMs and prompting engineering techniques.
Evaluate LLMs performance, conduct error analysis, and iterate to improve accuracy, fairness, and reliability.
Proficiency in SQL and Python, with clean coding and OOP practices.
Experience working with cloud-based environments (Azure ML, Databricks preference).
Strong collaboration skills, with the ability to enable and advise teams without taking ownership of their delivery.
Proactive and solution‑oriented mindset.
Flexibility and adaptability in dynamic environments.
Curiosity and eagerness to learn new tools and improve processes.
We're all about diversity. We operate in 200 countries and speak 60 different languages and cultures. We're really proud of our inclusive environment. Our offices are comfortable and fun places to work, and we make sure you get to work from home too. Find out what it's like to join our team and take a step closer to your best life ever.
Flex Week: Work from home up to 2 days/week (depending on your team's needs)
Flex Day: Make your workday suit your life and plans.
Flex-Location: Take up to 30 days a year to work from any location in the world.
Employee Wellbeing: We have got you covered with our Employee Assistance Program (EAP), for you and your dependents 24/7, 365 days/year. We also offer Champion Health - a personalized platform that supports a range of wellbeing needs.
Professional Development: At SITA, we believe growth fuels innovation. Our learning ecosystem offers access to world-class platforms and programs designed to help you thrive. From LinkedIn Learning, Microsoft's Enterprise Skills Initiative, and Airport Council International -available to all employees-to specialized solutions like Pluralsight for technology upskilling, Harvard Business Publishing for people leadership, Stanford for strategic development and many others, we align learning opportunities with your Development Plan and our business priorities. Your development journey is supported every step of the way.
Competitive Benefits: Competitive benefits that make sense with both your local market and employment status.
SITA is an Equal Opportunity Employer. We value a diverse workforce. In support of Our Employment Equity Program, we encourage women, aboriginal people, members of visible minorities, and/or persons with disabilities to apply and self-identify in the application process.
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