Senior Housing Economist

h3bWhy This Role /b /h3 pImmoweb 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.br/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.br/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. /p h3bThe Team You’ll Join /b /h3 pYou 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. /p pA highly collaborative environment with top-tier data and research experts. /p pExposure to European housing markets (Belgium, France, Germany). /p h3bWhat You’ll Own /b /h3 pAs Senior Housing Economist Data Scientist, you will own the link between housing data, Marketing and Product. This role sits at the intersection of: /p ul lipbEconomics content: /b market indicators, research and storytelling, /p /li lipbData science modelling: /b Python-based analysis production, and housing market insights models, /p /li lipbLeadership partnership: /b initiatives that bring housing data into actionable marketing actions and impactful product evolutions, from idea to impact. /p /li /ul pbYour objective: /b lead initiatives that turn market data into content, tools and features that create value for the platform; their users and the business. /p pbData Science /b /p ul lipExplore, clean, and analyze diverse datasets to extract relevant insights, /p /li lipIdentify key market indicators and build tailored quantitative or machine learning models (AVM or hedonic indices-type), /p /li /ul pMaintain and regularly update market indicators autonomously using clean, efficient, and well-structured code. /p pbHousing economics x Marketing /b /p ul lipTurn indicators into strategic content: market reports, Press Releases, SEO pages and editorial articles to bring traffic and visibility, /p /li lipDeveloping and maintaining data collaborations with academia, public institutions and private sector partners. /p /li lipPosition Immoweb as the trusted expert of the Belgian housing market. /p /li /ul pbHousing decision making x Product /b /p ul lipIdentify valuable tools for users related with housing decision making, /p /li lipTranslate housing data and market insights into interpretable insights and decision-making tools for sellers, buyers and professionals /p /li lipPrototype data products and dashboards (e.g. Streamlit) and automate recurring analyses /p /li /ul pbLeadership quality /b /p ul lipLead cross-functional initiatives with Marketing and Product teams: define the opportunity, align stakeholders, deliver and measure impact /p /li lipEnsure data quality, consistency and economic robustness of all outputs /p /li lipSet methodological standards, review code and share knowledge with the team /p /li /ul h3bWhat We’ll Achieve Together /b /h3 pYour objective: lead initiatives that turn market data into content, tools and features that create value for the platform; their users and the business. /p ul lipDirect impact on millions of users and strategic business decisions within Immoweb as well as on agents and partner’s side. /p /li lipA leading role in shaping Immoweb’s data-driven offering in Belgium /p /li lipThe 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. /p /li /ul h3bWhat You Bring /b /h3 h3bEducation experience /b /h3 ul lipMaster’s degree in Economics, Econometrics, Data Science or a related field /p /li lip5+ years of experience in data science, applied economics or market analytics, including leading projects and initiatives /p /li lipExperience in housing, real estate or marketplace/classifieds is strongly preferred /p /li /ul h3bTechnical analytical skills /b /h3 ul lipAdvanced Python (pandas, numpy, statistical modelling) and solid SQL; clean, reproducible, versioned code /p /li lipStrong statistics and econometrics: regressions, hypothesis testing, price indices, clustering, forecasting /p /li lipExperience building data products, dashboards or analytical apps and working with large, imperfect datasets /p /li lipStrong capacity to validate results, stress-test models and check that outputs make real-world sense /p /li lipAbility to turn data into clear indicators, stories and content for non-technical audiences /p /li lipAbility to use AI responsibly in your