[Hiring] Data Science Engineer @Lighthouse

Role Description

As a Data Science Engineer , you will work in the Data Science Core team, a shared team supporting data science across Lighthouse. You will own work from an initial business question through to models and AI products that reach customers. The role combines hands-on internal consulting for teams without embedded data science support, readiness to support important data domains, and continuous research into AI applications for hospitality. You will work independently on projects while drawing on the support of Senior Data Scientists and MLOps Engineers.

What you will do

• Partner with internal teams to contribute your data science expertise to projects.
• Advise on and review data science work, or contribute hands-on to longer projects.
• Build, evaluate, and ship machine learning and AI models for customer-facing use.
• Bring models and AI products from an initial question through to production.
• Ramp up on important data domains to provide support and maintenance when needs arise.
• Research developments in advanced AI capabilities and experiment with their application in hospitality.
• Collaborate with stakeholders to determine whether a solution is ready for customer use.

About our team

You'll be joining our Data Science Core team. Supporting teams with data science expertise, maintaining important data domains, and researching how developments in AI can be applied in hospitality. You'll work alongside three MLOps Engineers and a Lead Data Scientist. This is a role for someone who can take data science work from an initial question through to a product that reaches customers.

Qualifications

• Proven experience in Data Science.
• Experience using Python to develop machine learning or AI solutions.
• Experience with cloud orchestration.
• Experience with generative AI.
• A 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.

We welcome

• Experience in a SaaS environment.
• Consulting backgrounds with experience delivering production-ready data science work.

Technologies you will work with

• Python (pandas, numpy, ML libraries...)
• SQL
• Google Cloud Platform (BigQuery, Vertex AI, Dataflow, ADK...)
• Airflow
• dbt
• MLflow
• GitLab
• Atlan

Benefits

• Flexible working environment: Work from home or at one of our global offices.
• Flexible time off: Autonomy to manage your work-life balance.
• Alan Healthy benefits: 160€/month for food or nursery.
• Payflow App: Access your earned salary in advance at no cost to you.
• Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery.
• Wellbeing support: Subsidized up to 80% ClassPass subscription.
• Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
• Collaborative team: High-bar, friendly, creative, and passionate colleagues.
• Career development: Workshops, frameworks, tools, training, and processes to realize your full potential.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Competitive compensation: Proactively maintained to value your work.
• Referral bonuses: Earn rewards for bringing in new talent.

Diversity, equity, inclusion, and belonging

Thank you for considering a career with Lighthouse. We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. We welcome candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, and disability. Our commitment to equality is part of our culture. If you require reasonable accommodation at any point during the application or interview process, please notify your recruiter.