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Lighthouse is an AI-powered commercial strategy platform for hospitality, serving tens of thousands of hotels across 185 countries. With $370M in Series C funding and over $100M in ARR, the company is scaling rapidly with 850+ employees globally.
You will join the Data Science Core team, a shared team supporting data science initiatives across Lighthouse. This role combines hands-on data science work with internal consulting for teams without embedded data science support, domain expertise development, and research into AI applications for hospitality.
Key responsibilities:
- Partner with internal teams to contribute data science expertise to projects
- Advise on and review data science work, or contribute hands-on to longer-term projects
- Build, evaluate, and ship machine learning and AI models for customer-facing use
- Bring models and AI products from initial concept through to production
- Ramp up on important data domains to provide support and maintenance as needed
- Research developments in advanced AI capabilities and experiment with their application in hospitality
- Collaborate with stakeholders to determine solution readiness for customer use
You will work independently on projects while drawing on support from Senior Data Scientists and MLOps Engineers. The team consists of three MLOps Engineers and a Lead Data Scientist.
Technologies: Python (pandas, numpy, ML libraries), SQL, Google Cloud Platform (BigQuery, Vertex AI, Dataflow, ADK), Airflow, dbt, MLflow, GitLab, Atlan.
Requirements:
- Proven experience in Data Science
- Experience using Python to develop machine learning or AI solutions
- Experience with cloud orchestration
- Experience with generative AI
- Track record of taking machine learning models or AI products into production for customers
- Strong communication skills and experience working with stakeholders on ambiguous data science problems
- Ability to work independently on data science projects
- Fluency in English
Welcome (nice-to-have):
- Experience in a SaaS environment
- Consulting background with experience delivering production-ready data science work
