Data Science Engineer: Remote AI for Hospitality

Tamarind Intelligence; Barcelona; Presencial; EUR 65.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working environment

Wellbeing support

Career development

Descripción de la vacante

Lighthouse in Barcelona is seeking a Data Science Engineer to own projects from business questions through to models and AI products delivered to customers. You will work in the Data Science Core, collaborating with ML engineers and customers to turn data into real actions.

You’ll apply Python-based ML, cloud orchestration, and generative AI to hospitality challenges, communicating with stakeholders and delivering production-ready solutions in a fast-growing SaaS environment.

Formación

• Proven experience in Data Science.
• Experience using Python to develop ML or AI solutions.
• Experience with cloud orchestration.
• Experience with generative AI.
• Track record of production ML for customers.
• Strong communication with stakeholders on ambiguous data problems.
• Ability to work independently on data science projects.
• Fluency in English.

Responsabilidades

• Work in the Data Science Core team from problem to AI product.
• Collaborate with ML engineers and stakeholders on projects.
• Build, evaluate, and ship ML models for customer use.
• Bring models from concept to production.
• Ramp up on important data domains to provide support.
• Research AI capabilities and apply them to hospitality.
• Determine readiness of solutions for customer deployment.

Herramientas

Python

SQL

Google Cloud Platform

Airflow

dbt

MLflow

GitLab

Descripción del empleo

Lighthouse in Barcelona is seeking a Data Science Engineer to own projects from business questions through to models and AI products delivered to customers. You will work in the Data Science Core, collaborating with ML engineers and customers to turn data into real actions.

You’ll apply Python-based ML, cloud orchestration, and generative AI to hospitality challenges, communicating with stakeholders and delivering production-ready solutions in a fast-growing SaaS environment.