Data Science Engineer: AI Products for Hospitality Growth

Traveltechessentialist

Oost-Vlaanderen

Hybride

EUR 60 000 - 95 000

Plein temps

Il y a 13 jours
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Avantages offerts par ce poste

Flexible working environment
Flexible time off
Collaborative team
Career development
Impactful work
Mobility options
Competitive compensation
Net allowance
Lunch vouchers
Eco vouchers
Comprehensive health insurance
Pension funding
Referral bonuses

Résumé du poste

Lighthouse seeks a Data Science Engineer to join the Data Science Core team in Belgium. You will own projects from initial questions to deployment, delivering AI products that reach customers and drive hospitality decisions.

You will collaborate with Senior Data Scientists and MLOps Engineers, using Python, cloud platforms, and cutting-edge AI to push models into production while supporting diverse data domains and stakeholder needs.

Qualifications

  • Proven experience in Data Science.
  • Fluency in English.
  • Experience using Python to develop ML/AI solutions.
  • Experience with cloud orchestration.
  • Track record of taking ML models or AI products into production.

Responsabilités

  • Own work from an initial business question through to models and AI products reaching customers.
  • Provide internal consulting and support for teams lacking data science resources.
  • Build, evaluate, and ship ML/AI models for customer-facing use.
  • Move models and AI products from concept to production.
  • Ramp up on important data domains to provide support and maintenance.

Connaissances

Data science
Python
Cloud orchestration
Generative AI
Production ML/AI
Communication skills
Independent work
English fluency

Outils

GCP
Airflow
dbt
GitLab

Description du poste

Lighthouse seeks a Data Science Engineer to join the Data Science Core team in Belgium. You will own projects from initial questions to deployment, delivering AI products that reach customers and drive hospitality decisions.

You will collaborate with Senior Data Scientists and MLOps Engineers, using Python, cloud platforms, and cutting-edge AI to push models into production while supporting diverse data domains and stakeholder needs.

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