Ph3What you will do: /h3 pWe are looking for a Senior Data Scientist who is passionate about exploring, visualising and correlating vast datasets, and wants to see their work translated into real life applications that impact 100.000’s of hotels worldwide. /p h3Where you will have impact: /h3 ul liDevelop statistical models that forecast demand for thousands of hotels every day; /li liBuild price recommendations using large-scale hospitality data that are explainable and understandable for our users; /li liResearch and productionalize models to automate and enhance manual processes for our users; /li liDevelop a deep understanding of Lighthouse data assets and how they can be used to improve our products, their usage and customers retention; /li liTranslate loosely defined problems into actionable recommendations and execute them; /li liClearly and concisely communicate insights from your research to facilitate collaboration with other teams and stakeholders; /li liPartner with Product, Engineering, Analytics Marketing teams to research and operationalise new solutions; /li liHave a strategic role in the delivery of Data RD projects from ideation to product implementation. /li /ul h3About our team: /h3 pThe Lighthouse Data RD team is a team within our wider engineering team. Its mission is to maximise the power of data to create data driven culture in the industry and inside Lighthouse by providing support to existing solutions and drive innovation to reach our company and product goals. /p pThe 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). /p pToday 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. /p h3Technologies you will work with: /h3 pGCP (BigQuery, VertexAI), Python (both jupyter notebooks and production quality code), SQL, Tableau, airflow /p h3What’s in it for you: /h3 ul liA flexible working environment where you can work from home or, if you live nearby, at one of our seven offices around the world /li liUnlimited time off: we believe in providing our employees with the flexibility and autonomy to manage their work‑life balance effectively /li liA motivation to deliver your best work as we have built a high‑bar and very talented team of individuals that are friendly, creative, open‑minded, and passionate about what they do /li liWorkshops and frameworks that help employees realize their full career potential /li liA mandate to operationalize and democratize research through tools, training, and processes /li liThe opportunity to shape the products that more than 85,000 users rely on worldwide /li liA mobility approach that fits your personal situation, with a mobility budget or company car /li liExtensive health insurance packages for you and your dependents prioritizing our employees’ holistic well‑being and healthcare needs /li liPrivate pension funding through group insurance /li liA compensation that values your work and which we will proactively keep competitive /li liA referral bonus scheme when you bring new talent to our #bestteamever! /li /ul h3Who you are: /h3 ul li+5 years experience in a similar Data Scientist role; /li liHigh-energy professional with a passion for data, attention to detail, and a positive attitude; /li liUnderstanding of the steps required in cleaning and transforming datasets; /li liSolid relational modelling (SQL) and programming skills (preferably in Python); /li liStrong expertise in statistics; /li liExpertise in applying statistical and machine learning solutions to business problems; /li liAble to derive and clearly communicate insights from a dataset, preferably using Jupyter/Pandas/Tableau; /li liGood software engineering practices, e.g. use of version control; /li liStrong analytical mindset and problem solving skills; /li liStrong communicator that can describe complex topics in a simple way to a variety of technical and non-technical stakeholders; /li liFluent in English; /li liEU Work Permit. /li /ul h3We welcome: /h3 ul liExperience working with Product and Engineering teams at high growth companies to solve problems, identify trends and opportunities, productionize recommendations; /li liExperience solving problems with real-world data; /li liExperience with Data Engineering frameworks like airflow; /li liExperience in working with GCP solutions (BQ, VertexAI) /li /ul /p #J-18808-Ljbffr