The roleYou're a data scientist with broad quantitative skills and a background in microeconomics, econometrics, or finance. You'll own data science work across Qogita's business — from forecasting and classification through to experimentation and recommendation systems — and act as the team's go-to on how prices are set, how buyers respond, and how market structure shapes commercial decisions. The Data Science team works cross-functionally with Product, Finance, and Commercial teams to build the analytical and modelling layer that drives Qogita's wholesale marketplace.What You'll DoBuild and deliver data science solutions across the stack — predictive models, segmentation, forecasting, ranking systems, and pricing models — depending on where the business need is greatestAct as the team's domain expert on pricing and market economics: take ownership of the modelling approach, analytical strategy, and how findings translate into commercial recommendationsResearch, build, deploy and maintain predictive and analytical models that reflect B2B buyer behaviour and wholesale market dynamicsDesign and analyse experiments and A/B tests, owning statistical validity and translating results into recommendations Product and Commercial can act onApply a range of quantitative methods — regression modelling, causal inference, ML techniques — to business problems across pricing, demand, market liquidity and beyondCollaborate with Engineers to ship models via reproducible MLOps workflows, including experiment tracking, model serving, and production monitoringCommunicate findings and model limitations clearly to Finance, Commercial, and Product stakeholdersWhat You'll Bring3+ years working as a data scientist or quantitative analyst and meaningful exposure across ML methods and statistical modelling with a focus on microeconomics, econometrics or financeStrong Python (pandas, statsmodels, scikit-learn, XGBoost, PyTorch) and SQL; comfortable working with large transactional datasetsGrounding in pricing and market economics — price theory, consumer behaviour, substitution effects, and how market structure shapes pricing powerFamiliarity with econometric techniques for demand estimation, forecasting and measuring causal effectsExperience designing and analysing experiments with real business decisions riding on the resultsAble to communicate findings and model limitations clearly to non-technical stakeholders across Finance, Commercial, and ProductBachelor's or Master's in Data Science, Statistics, Economics, Econometrics, Mathematics, or a related quantitative fieldPerks & BenefitsBase salary: €60,000 – €75,000 (Amsterdam) / £72,000 – £90,000 (London) depending on experience26 days of annual leave, plus 4 additional personal daysCompany performance-based bonusAttractive equity packagePension contributionsAnnual learning & development budgetOffice-led culture with hybrid flexibilityDog-friendly officesHome-office setup packageOffice socials and annual company-wide offsiteWho we areQogita [Ko-gi-ta] is revolutionizing wholesale procurement. We provide a one-stop shop for branded products, available in a single click at competitive prices. Our vision is to build the world's leading global wholesale trading hub, empowering efficient distribution of goods. We didn't just improve wholesale — we reinvented it.We're one of the fastest-growing B2B companies globally, backed by top investors behind companies like Facebook, Etsy, and Shopify.Our tight-knit, highly motivated team thrives on curiosity and impact. Everyone contributes hands-on, takes initiative, and drives results. We value a strong work ethic, smart prioritization, and a relentless focus on excellence.

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Data Scientist (Economics)