Data Scientist (Economics)

The role
You'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.

The role
You'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 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.

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