The purpose of the Data Scientist is to analyze and interpret airline and airport operational data to support strategic decision-making, improve efficiency, and unlock insights that enhance the overall customer and passenger experience. The person will identify trends and improvement opportunities and collaborate with cross-functional teams to drive operational performance and continuous improvement.
KEY RESPONSIBILITIES
- Analyze and interpret operational data from airlines and airports to uncover trends, patterns, and actionable insights that support operational and strategic decisions.
- Create impactful reports, dashboards, and data visualizations to communicate insights clearly to internal stakeholders.
- Collaborate with Business Development, Product, and Development teams to gather requirements and deliver data-driven proof-of-concept (PoC) solutions.
- Conduct exploratory data analysis (EDA) and contribute to data quality assessments to ensure data accuracy, completeness, and reliability, in collaboration with data engineers.
- Conduct ad-hoc analyses and investigative deep dives to address specific operational challenges or identify root causes of anomalies.
- Develop forecasting models and data-driven simulations to predict operational performance and demand trends.
- Stay abreast of industry developments and emerging analytics practices to continuously bring innovative data solutions to operational problems.
- Communicate findings and model outcomes through data storytelling and visualizations for internal stakeholders.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Statistics, or a related field.
- Minimum of 2 years of professional experience in a data science, machine learning, or advanced analytics role, preferably—but not necessarily—in operational or transportation-related domains (e.g., aviation, logistics, or supply chain).
- Demonstrated experience translating business and operational challenges into analytical solutions.
- Strong analytical skills and the ability to work with large, complex datasets.
- Proficiency in SQL and one or more analytical or statistical tools (e.g., Python, R).
- Experience building dashboards using tools like Tableau, Power BI, or equivalent.
- Familiarity with AI model lifecycle and monitoring (e.g., MLOps practices).
- Experience working on data-driven proofs of concept or pilot projects.
- Excellent communication and collaboration skills, especially in cross-functional teams.
- Good organizational skills and the ability to manage multiple priorities effectively.
- Understanding of Agile methodologies and iterative development cycles.
- Ability to thrive in a fast-paced, evolving environment and handle ambiguity.
- Familiarity with Databricks or similar big data platforms is a plus.
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: Level up your skills with our training platforms, including LinkedIn Learning!
🙌 Competitive Benefits: Competitive benefits that make sense with both your local market and employment status.
