Data Scientist (Economics)
Qogita · Amsterdam, North Holland, Netherlands · €60K–€90K/yr
Technology, Information and Internet · 51-200 employees
About the role
You will build and deliver data science solutions including predictive models, pricing strategies, and forecasting to drive the wholesale marketplace. Additionally, you will act as a domain expert on market economics and collaborate cross-functionally to translate analytical findings into commercial recommendations.
What they look for
Requirements
The role requires 3+ years of experience as a data scientist with a strong background in microeconomics, econometrics, or finance. Candidates must be proficient in Python and SQL, with a solid understanding of statistical modeling, causal inference, and experimental design.
Benefits
Full description
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.
- 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
- 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
- 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.
