Data Scientist - Remote (Santiago de Chile)

Role Summary

The Data Scientist exists to enable product, business and operational decisions through the design, development and integration of end-to-end analytical and machine learning solutions.

Its mission is the development of Data Science solutions that optimize the passenger experience and the operational efficiency of the onboard service, transforming data into high-impact business decisions.

More than solving a problem, it must generate Machine Learning models and experiments that allow measuring the impact of new initiatives on key indicators such as NPS, costs, food waste and availability of products on board.

Responsibilities

• Develop Data Science solutions that optimize the passenger experience and the operational efficiency of the onboard service, transforming data into high-impact business decisions
• Build Machine Learning models and experiments that allow measuring the impact of new initiatives on key indicators such as NPS, costs, food waste and availability of products on board.
• Implement Generative AI solutions for cabin crew, facilitating real-time access to procedures, operational information and support during the operation, increasing productivity and reducing response times.

Cross-cutting responsibilities of the role

• Democratize data controller
• Influence business and product decisions
• Develop analytical solutions and models
• Translate business problems into analytical problems
• Own problems and results
• Evolve analytical capabilities and ways of working
• Skills, Knowledge and Expertise

Requirements

Essential skills

• Experience building Machine Learning models
• SQL
• GCP services and tools like BigQuery
• Python - Pandas
• Polars
• Numpy
• Matplotlib
• seaborn
• Plotly
• Statsmodels
• Pyfixest
• SciPy
• Familiarity or experience with BI Tools such as Looker Studio
• Scikit-learn
• MLFlow
• Docker

Soft Skills

• Critical thinking: Challenge assumptions and connect data to meaningful business questions.
• Communication: Translate technical findings into actionable language for the business.
• Collaboration: Work alongside product, engineering, and business teams to build and apply data-driven solutions.
• Problem Solving: Can lead and execute analysis or modeling projects with minimal direction.

Benefits

• 😉 Being a maker is cool: We have very good benefits and many activities to have fun!
• 🏖️ Don't worry, be happy: 3 days off per year in addition to your vacation.
• ✨ Unpaid leave to fulfill your dreams.
• ⚖️ Wellness program focused on balancing work and personal life.
• 🏥 100% free Complementary Insurance for Makers.
• 🤓 Training programs, English classes and much more!
• 🎂 Free day for your birthday and half a day for your children's birthdays.
• 💰 Bonuses that give respite: National holidays, Christmas, marriage/AUC, birth/adoption of children, etc.
• 💳 Agreements and preferential prices with banks.
• 👶🏻 3 additional days for parents due to the birth or adoption of a child.
• 🐶 Insurance agreement for your pets!
• 🌿 Our culture is horizontal, innovative, challenging and above all, we breathe a lot of good vibes!
• Within the framework of our commitment to inclusion, the following vacancy is open within the framework of law 21,015.