Data Scientist (Economics)

The role involves being a data scientist with broad quantitative skills and a background in microeconomics, econometrics, or finance. You will 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 Do

• Build and deliver data science solutions across the stack — predictive models, segmentation, forecasting, ranking systems, and pricing models — depending on where the business need is greatest.
• Act 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 recommendations.
• Research, build, deploy and maintain predictive and analytical models that reflect B2B buyer behaviour and wholesale market dynamics.
• Design and analyse experiments and A/B tests, owning statistical validity and translating results into recommendations Product and Commercial can act on.
• Apply a range of quantitative methods — regression modelling, causal inference, ML techniques — to business problems across pricing, demand, market liquidity and beyond.
• Collaborate with Engineers to ship models via reproducible MLOps workflows, including experiment tracking, model serving, and production monitoring.
• Communicate findings and model limitations clearly to Finance, Commercial, and Product stakeholders.

What You'll Bring

• 3+ 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 finance.
• Strong Python (pandas, statsmodels, scikit-learn, XGBoost, PyTorch) and SQL; comfortable working with large transactional datasets.
• Grounding in pricing and market economics — price theory, consumer behaviour, substitution effects, and how market structure shapes pricing power.
• Familiarity with econometric techniques for demand estimation, forecasting and measuring causal effects.
• Experience designing and analysing experiments with real business decisions riding on the results.
• Able to communicate findings and model limitations clearly to non-technical stakeholders across Finance, Commercial, and Product.
• Bachelor's or Master's in Data Science, Statistics, Economics, Econometrics, Mathematics, or a related quantitative field.

Perks & Benefits

• Base salary: €60,000 – €75,000 (Amsterdam) / £72,000 – £90,000 (London) depending on experience.
• 26 days of annual leave, plus 4 additional personal days.
• Company performance-based bonus.
• Attractive equity package.
• Pension contributions.
• Annual learning & development budget.
• Office-led culture with hybrid flexibility.
• Dog-friendly offices.
• Home-office setup package.
• Office socials and annual company-wide offsite.

Who we are

Qogita [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.