Senior Data Science Engineer

At Lighthouse, we’re on a mission to disrupt commercial strategy for the hospitality industry. Our innovative commercial platform takes the complexity out of data, empowering businesses with actionable insights, advanced pricing tools, and cutting-edge business intelligence to unlock their full revenue potential.

Backed by $370 million in series C funding and driven by an unwavering passion for growth, we’ve welcomed five companies into our journey and have surpassed $100 million in ARR in 2024. Our 850+ teammates span 35 countries and represent 34 nationalities.

At Lighthouse, we’re more than just a workplace – we’re a community. Collaborative, fun, and deeply committed, we work hard together to revolutionize the hospitality sector. Are you ready to join us and shine brighter in the industry’s most exciting rocket-ship? 🚀

What you will do

As a Senior Data Science Engineer, you will be designing, building, and deploying algorithms that impact hundreds of thousands of hotels globally. Your work will focus on applying software engineering best practices to data science, turning complex models into production-ready features for our SaaS products that will shape the future of hospitality tech.

Where you will have impact

• Develop, productionalise, and maintain statistical and machine learning models that forecast demand for thousands of hotels every day, ensuring they are scalable.
• Improve the stability, performance, and scalability of our core algorithms to support our growth.
• Own the end-to-end lifecycle of machine learning models, from research and ideation to implementation, deployment, and monitoring in a production environment.
• Translate business requirements into scalable and efficient technical solutions, taking ownership of the technical implementation.
• Partner closely with Product and Engineering teams to implement new data-driven solutions and contribute to the technical architecture.
• Clearly communicate technical concepts and insights to collaborate with both technical and non-technical stakeholders.

About our team

The Data organisation is a team within our wider Lighthouse engineering team. Its mission is to bring innovative data solutions to everyone who needs it by building & optimising data processes, enabling product development and creating data driven culture.

The team works in close collaboration with our Product team, as well as a highly talented group of software engineers, devops engineers, and project managers to drive initiatives forward. We have offices in Ghent and Brussels, and as an engineer, you'll find most of your peers there (unless they're working from home or remote).

Today we process billions of data points and +100TB of data on a daily basis, containing hotels' pricing information, search data, hotel bookings, etc. All of that using modern technologies. Being a growth company enables us to regularly attract new and interesting datasets, which can unlock new product directions.

What's in it for you?

• Flexible working environment: Work from home or at one of our global offices.
• Flexible time off: Autonomy to manage your work-life balance.
• 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 75,000+ users worldwide.
• Mobility options: Mobility budget or company car tailored to your needs.
• Comprehensive health insurance: Extensive coverage for you and your dependents.
• Private pension funding: Group insurance to secure your future.
• Competitive compensation: Proactively maintained to value your work.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• Multiple years of experience in a Data Scientist, Machine Learning Engineer, or a similar role with a strong software engineering focus.
• Strong software engineering background and a deep understanding of software engineering best practices (e.g., version control, testing, CI/CD).
• Expert programming skills in Python and strong relational modeling skills in SQL.
• Expertise in statistics, applying machine learning solutions to business problems, and a proven track record of deploying and maintaining models in production.
• Experience with data engineering frameworks such as Airflow.
• Proven ability to work with and derive clear insights from complex datasets.
• Excellent communication skills, with the ability to explain complex topics simply to diverse audiences.
• Fluency in English.

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