Senior Housing Economist

h3Why This Role /h3pImmoweb is Belgium's reference real estate platform, helping millions of people find a home across the country. Here, data is not a support function: it is a core driver of product, business strategy and market transparency. /ph3Why This Role /h3pImmoweb is Belgium's reference real estate platform, helping millions of people find a home across the country. Here, data is not a support function: it is a core driver of product, business strategy and market transparency. By joining the Housing Data Science Economics tea, you will turn the richness of our data into indicators, content and product features that create real value for our users and strengthen Immoweb's position as the reference for the Belgian housing market. You will also be part of a great international team: Immoweb belongs to AVIV Group, a leading European PropTech company whose brands include Immowelt, SeLoger and Meilleurs Agents, giving you access to housing data far beyond Belgium. /ph3The Team You’ll Join /h3pYou will also be part of a great international team: Immoweb belongs to AVIV Group, a leading European PropTech company whose brands include Immowelt, SeLoger and Meilleurs Agents, giving you access to housing data far beyond Belgium. A highly collaborative environment with top-tier data and research experts. Exposure to European housing markets (Belgium, France, Germany). /ph3What You’ll Own /h3ulliEconomics content: market indicators, research and storytelling, /liliData science modelling: Python-based analysis production, and housing market insights models, /liliLeadership partnership: initiatives that bring housing data into actionable marketing actions and impactful product evolutions, from idea to impact. /li /ulh3Your objective: /h3plead initiatives that turn market data into content, tools and features that create value for the platform; their users and the business. /ph3Data Science /h3ulliExplore, clean, and analyze diverse datasets to extract relevant insights, /liliIdentify key market indicators and build tailored quantitative or machine learning models (AVM or hedonic indices-type), /li /ulpMaintain and regularly update market indicators autonomously using clean, efficient, and well-structured code. /ph3Housing economics x Marketing /h3ulliTurn indicators into strategic content: market reports, Press Releases, SEO pages and editorial articles to bring traffic and visibility, /liliDeveloping and maintaining data collaborations with academia, public institutions and private sector partners. /liliPosition Immoweb as the trusted expert of the Belgian housing market. /li /ulh3Housing decision making x Product /h3ulliIdentify valuable tools for users related with housing decision making, /liliTranslate housing data and market insights into interpretable insights and decision-making tools for sellers, buyers and professionals /liliPrototype data products and dashboards (e.g. Streamlit) and automate recurring analyses /li /ulh3Leadership quality /h3ulliLead cross-functional initiatives with Marketing and Product teams: define the opportunity, align stakeholders, deliver and measure impact /liliEnsure data quality, consistency and economic robustness of all outputs /liliSet methodological standards, review code and share knowledge with the team /li /ulh3What We’ll Achieve Together /h3pYour objective: lead initiatives that turn market data into content, tools and features that create value for the platform; their users and the business. /pulliDirect impact on millions of users and strategic business decisions within Immoweb as well as on agents and partner’s side. /liliA leading role in shaping Immoweb’s data-driven offering in Belgium /liliThe opportunity to become a spokesperson for Immoweb on the Belgian housing market (media, press and events). We’ll put the necessary training in place to reach the highest possible standards. /li /ulh3What You Bring /h3h3Education experience /h3ulliMaster’s degree in Economics, Econometrics, Data Science or a related field /lili5+ years of experience in data science, applied economics or market analytics, including leading projects and initiatives /liliExperience in housing, real estate or marketplace/classifieds is strongly preferred /li /ulh3Technical Analytical Skills /h3ulliAdvanced Python (pandas, numpy, statistical modelling) and solid SQL; clean, reproducible, versioned code /liliStrong statistics and econometrics: regressions, hypothesis testing, price indices, clustering, forecasting /liliExperience building data products, dashboards or analytical apps and working with large, imperfect datasets /liliStrong capacity to validate results, stress-test models and check that outputs make real-world sense /liliAbility to turn data into clear indicators, stories and content for non-technical audiences /liliAbility to use AI responsibly in your daily work: knowing when it adds value, and when it needs critical review. /li /ulh3Leadership mindset /h3ulliProven abilit